U.S. patent application number 15/599467 was filed with the patent office on 2017-11-09 for wearable personal digital device for facilitating mobile device payments and personal use.
The applicant listed for this patent is AMOBILEPAY, INC., WORLD AWARD ACADEMY, WORLD AWARD FOUNDATION. Invention is credited to Zhou Tian Xing.
Application Number | 20170323285 15/599467 |
Document ID | / |
Family ID | 60189616 |
Filed Date | 2017-11-09 |
United States Patent
Application |
20170323285 |
Kind Code |
A1 |
Xing; Zhou Tian |
November 9, 2017 |
WEARABLE PERSONAL DIGITAL DEVICE FOR FACILITATING MOBILE DEVICE
PAYMENTS AND PERSONAL USE
Abstract
Provided is a wearable personal digital device for point of
healthcare saliva testing. The wearable personal digital device may
comprise a processor, a display, biometric sensors, activity
tracking sensors, a memory unit, a communication circuit, a
housing, an input unit, a projector, a timepiece unit, a haptic
touch control actuator, a band, a mounting clip, a saliva sample
insert apparatus, a pinhole, a light emitting diode board, a
battery, and a set of sensors. The processor may be operable to
receive data from an external device, provide a notification to a
user based on the data, receive a user input, and perform a command
selected based on the user input. The housing may be adapted to
enclose the components of the wearable personal digital device. The
band may be adapted to attach to the housing and secure the
wearable personal digital device on a user body.
Inventors: |
Xing; Zhou Tian; (Tiburon,
CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
WORLD AWARD ACADEMY
WORLD AWARD FOUNDATION
AMOBILEPAY, INC. |
Austin
Austin
Austin |
TX
TX
TX |
US
US
US |
|
|
Family ID: |
60189616 |
Appl. No.: |
15/599467 |
Filed: |
May 19, 2017 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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15439276 |
Feb 22, 2017 |
9704154 |
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15599467 |
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14695256 |
Apr 24, 2015 |
9100493 |
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15439276 |
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15343227 |
Nov 4, 2016 |
9704151 |
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14695256 |
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15345349 |
Nov 7, 2016 |
9652758 |
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15439276 |
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14957644 |
Dec 3, 2015 |
9489671 |
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15345349 |
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14815988 |
Aug 1, 2015 |
9342829 |
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14957644 |
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13760214 |
Feb 6, 2013 |
9016565 |
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14815988 |
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10677098 |
Sep 30, 2003 |
7702739 |
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13760214 |
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60415546 |
Oct 1, 2002 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06F 3/015 20130101;
G06Q 30/0641 20130101; A61B 5/14532 20130101; A61B 2560/0252
20130101; G06Q 2220/00 20130101; G06K 9/00671 20130101; H04L 67/10
20130101; A61B 5/01 20130101; A61B 5/02055 20130101; A61B 5/14546
20130101; A61B 5/7425 20130101; H04M 1/2755 20130101; H04M 1/7253
20130101; A61B 5/6824 20130101; G06F 1/163 20130101; G06K 2209/01
20130101; G06Q 20/401 20130101; A61B 5/14542 20130101; A61B
2562/028 20130101; G06K 9/00147 20130101; G06Q 20/3821 20130101;
G10L 2015/223 20130101; H04M 15/00 20130101; G10L 15/22 20130101;
A61B 5/1118 20130101; G06K 2009/00939 20130101; G06Q 20/325
20130101; A61B 5/0402 20130101; G06Q 20/3221 20130101; G06Q 20/3276
20130101; G06Q 20/40145 20130101; H04B 2001/3861 20130101; A61B
5/746 20130101; G06F 3/017 20130101; G10L 21/0208 20130101; A61B
5/6804 20130101; G06Q 30/0267 20130101; A61B 5/1112 20130101; G06F
21/6245 20130101; A61B 5/7405 20130101; G06K 2007/10534 20130101;
G06Q 20/3829 20130101; A61B 5/1172 20130101; G06F 3/016 20130101;
H04M 1/21 20130101; H04W 4/38 20180201; A61B 5/681 20130101; A61B
5/4277 20130101; A61B 5/0024 20130101; A61B 5/02433 20130101; A61B
5/1122 20130101; A61B 2562/0219 20130101; A61B 5/0531 20130101;
G06F 3/0488 20130101; G06Q 30/0601 20130101; A61B 5/1117 20130101;
G06Q 20/3274 20130101; G06K 9/00892 20130101; G06Q 30/06 20130101;
A61B 5/0816 20130101; A61B 5/4866 20130101; G06K 9/228 20130101;
A61B 5/7445 20130101; A61B 5/7455 20130101; A61B 5/7495 20130101;
A61B 5/021 20130101; G06K 15/00 20130101; A61B 5/14507 20130101;
G06F 2203/04105 20130101; A61B 10/0051 20130101; G06K 9/00087
20130101; G06K 9/325 20130101; H04B 1/385 20130101; G09F 21/02
20130101; G09F 27/00 20130101; A61B 5/117 20130101; G06Q 20/351
20130101; H04M 1/72527 20130101; A61B 5/4848 20130101; G06Q 30/0226
20130101; A61B 5/4815 20130101 |
International
Class: |
G06Q 20/32 20120101
G06Q020/32; H04M 1/725 20060101 H04M001/725; H04M 1/2755 20060101
H04M001/2755; G06Q 20/32 20120101 G06Q020/32; G06Q 20/32 20120101
G06Q020/32; G06K 15/00 20060101 G06K015/00; G06Q 20/22 20120101
G06Q020/22; G06Q 20/16 20120101 G06Q020/16; G06Q 20/02 20120101
G06Q020/02; G06Q 20/00 20120101 G06Q020/00; H04M 15/00 20060101
H04M015/00; G06Q 20/32 20120101 G06Q020/32 |
Claims
1. An artificial intelligence (AI) wearable and mobile personal
digital device for facilitating mobile device payments, personal
saliva testing, personal use, and health care, and being a point of
healthcare (POH) saliva testing device for POH saliva testing, the
AI wearable and mobile personal digital device steps comprising: a
mounting clip; a saliva sample insert apparatus; a pinhole; a
light-emitting diode (LED) board; a battery; a set of sensors; a
processor being operable to: receive data from an external device
associated with POH saliva testing; based on the data, provide a
notification to a user; receive a user input; and perform a
command, the command being selected based on the user input;
provide a natural language user interface to communicate with the
user, the natural language user interface being operable to sense a
user voice and provide a response in a natural language to the
user; a near field communication (NFC) unit communicatively coupled
to the processor; a display communicatively coupled to the
processor, the display including a touchscreen, wherein the display
includes a force sensor, wherein the force sensor is operable to
sense a touch force applied by the user to the display and
calculate coordinates of a touch by the user, and further operable
to analyze the touch force and, based on the touch force, select a
tap command or a press command based on a predetermined criteria; a
projector communicatively coupled to the processor, the projector
being operable to project a data onto a viewing surface external to
the AI wearable and mobile personal digital device, the data
including a virtual keyboard operable to input commands to the
processor and one or more of the following: the notification of the
external device, time, and data requested by the user, a caller
name, a text message, a reminder, a social media alert, an email,
and a weather alert; a timepiece unit communicatively coupled to
the processor and configured to provide time data; one or more
activity tracking sensors communicatively coupled to the processor
to track activity of the user, wherein the one or more activity
tracking sensors are operable to track snoring and, based on
tracking of the snoring, produce an alarm to break snoring; a
memory unit communicatively coupled to the processor; a
communication circuit communicatively coupled to the processor and
operable to connect to a wireless network and communicate with the
external device; a housing adapted to enclose at least the
processor, the display, the one or more activity tracking sensors,
the memory unit, and the communication circuit; an input unit
communicatively coupled to the processor, wherein the input unit
extends from the housing and is configured to perform one or more
of a rotational motion and a linear motion, wherein the one or more
of the rotational motion and the linear motion are operable to
input commands to the processor; and a band adapted to attach to
the housing and to secure the AI wearable and mobile personal
digital device on a user body, wherein the AI wearable and mobile
personal digital device comprises a wristwatch; one or more
biometric sensors disposed within the band and operable to sense
one or more biometric parameters of the user, wherein based on
detection that the one or more of the biometric parameters exceed
predetermined limits, the one or more biometric sensors are
configured to produce the alarm, wherein the one or more biometric
sensors include lenses operable to use infrared LEDs and
visible-light LEDs to sense a heart rate of the user, wherein the
one or more biometric sensors include a skin contact sensor data
engine, the skin contact sensor data engine being operable to
monitor an electrocardiogram of the user and the heart rate of the
user, the electrocardiogram and the heart rate being identification
and personal data of the user, wherein the skin contact sensor data
engine is operable to prompt the user to enter a personal
identification number and associate the personal identification
number with both the electrocardiogram and the heart rate obtained
after the AI wearable and mobile personal device has been secured
to a wrist of the user, the electrocardiogram and the heart rate
being stored in the memory unit as a reference electrocardiogram
and a reference heart rate; and wherein a thermal infrared (IR)
measurement of the one or more biometric sensors is used to
investigate a potential of cancer detection; wherein the one or
more biometric sensors include an adhesive sensor system worn on
the skin that automatically detects human falls and fatal diseases,
a sensor consisting of a tri-axial accelerometer, a
microcontroller, and a Bluetooth Low Energy transceiver and worn on
the user body to detect a biological analyte by converting a
biological entity into an electrical signal to be detected and
analyzed by using a biosensor in cancer and fatal diseases
detection and monitoring; a haptic touch control actuator operable
to produce a haptic feedback in response to one or more events, the
one or more events including receiving of the alert, receiving of a
notification, a confirmation, movement of the AI wearable and
mobile personal digital device, receiving of the user input, and
sensing of the one or more biometric parameters, the haptic
feedback being sensed by the user body, wherein the haptic feedback
includes a plurality of feedback types, each of the one or more
events being associated with one of the plurality of feedback
types; a further battery disposed in the housing; a magnetic
inductive charging unit being operable to magnetically connect to
the housing and wirelessly connect to the further battery, wherein
the magnetic inductive charging unit is operable to wirelessly
transfer energy to the further battery, wherein the magnetic
inductive charging unit is integrated into the housing; wherein the
user input is received using one or more of the display, the input
unit, and the natural language user interface; wherein the AI
wearable and mobile personal digital device further comprises a
camera communicatively coupled to the processor and operable to
capture a code including one or more of the following: a linear
dimensional barcode, a two-dimensional barcode, a snap tag code,
and a Quick Response (QR) code; wherein the processor is further
operable to read the code to obtain one or more of a product
information and a merchant information encoded in the code and,
based on the merchant information, initiate a payment transaction,
wherein the payment transaction is performed by sending payment
data by the NFC unit to a merchant using the NFC; a swipe card
reader communicatively coupled to the processor and operable to
read data of a payment card swiped through the swipe card reader,
the data being transmitted to the processor or the external device;
and wherein the processor is further operable to: generate, based
on user payment data and user personal data, a unique code encoding
the user payment data and the user personal data, the user payment
data and the user personal data being stored in the memory unit;
prompt the user to touch the display to scan user fingerprints;
determine the heart rate and the electrocardiogram of the user to
obtain determined heart rate and determined electrocardiogram;
compare the scanned user fingerprints, the determined heart rate
and the determined electrocardiogram with reference fingerprints
stored in the memory unit, reference heart rate, and reference
electrocardiogram; detect matches of the scanned user fingerprints
with the reference fingerprints, the determined heart rate with the
reference heart rate, and the determined electrocardiogram with the
reference electrocardiogram; and wherein the processor, after the
detecting of the matches, is configured to provide a unique code
via the display to a merchant digital device associated with one or
more of a healthcare center, a hospital, an emergency center, and a
saliva research center for performing the payment transaction; and
wherein the processor, upon performing the payment transaction, is
configured to provide a payment confirmation to the user.
2. The device of claim 1, wherein the camera is further operable
to: track a face, fingers, gestures, and other biometric personal
data; and the processor is further operable to: analyze the face,
the fingers, the gestures, and the other biometric personal data
tracked by the camera; analyze saliva data obtained from the saliva
sample insert apparatus; recognize speech; and subtract a
background noise from the speech.
3. The device of claim 1, wherein the camera is further operable to
perform an optical character recognition of a data, the data
including one or more of the following: a typewritten text, a
printed text, and an image, the data being scanned from a document,
the document including one or more of the following: a passport, an
invoice, a bank statement, a computerized receipt, a business card,
a mail, a printout of static-data, a book, and a print
publication.
4. The device of claim 1, wherein the display is operable to be
activated based on one or more of the following: a movement of a
user hand, a movement of the user body, a gesture performed by the
user in proximity to the display, and a user voice.
5. The device of claim 1, wherein a thin-film sensor made of
nanoparticles and polymers, which when pressed against the skin
creates changes in electrical current and light (ECL) captured by a
high-quality digital camera of wearable device, wherein which
detect tumors as small as 3 millimeters, hidden up to 2-50
millimeters deep in human body, an electrometric radiation that
human body emit when their temperature is above the absolute zero,
the thermal infrared (IR) sensor range extends to cover wavelengths
from 800 nanometer to few hundred micrometer to detect Cancer using
Temperature Variation and Radiation Analysis (TVRA) via wearable
computer device, which has grown tangibly due to factors including
life expectancies increase, personal habits and ultraviolet
radiation exposures among others the biometric parameters sensed by
the one or more biometric sensors are stored to the memory unit or
transmitted to the external device.
6. The device of claim 1, wherein the communication circuit
includes one or more of the following: a wireless transceiver, a
Bluetooth module, a Wi-Fi module, and a communication port, wherein
the communication port includes one or more of the following: a
universal serial bus port, a parallel port, an infrared transceiver
port, and a radiofrequency transceiver port.
7. The device of claim 1, further comprising: a microphone operable
to: sense voice data, the voice data being obtained from the user
and including a voice command, a voice memo, or a voice message;
and transmit the voice data to the processor; and a light indicator
being operable to show a light indication in response to receiving
the data from the external device, wherein upon a predetermined
movement of the user body the light indication stops showing the
light indication and initiates the display to display the data
received from an external device.
8. The device of claim 7, wherein the processor is further operable
to: recognize the voice data to obtain a user request; transmit the
user request to the external device, wherein a plurality of
applications running on the external device are visualized on the
display using a form factor; transmit the user request to one or
more of the external device, the healthcare center, the hospital,
the emergency center, the saliva research center, and
deoxyribonucleic acid (DNA) genetic testing and analysis
authorities.
9. The device of claim 1, wherein the POH saliva testing includes a
diagnostic technique that involves an analysis of a saliva of the
user to identify markers of one or more of endocrine, immunologic,
inflammatory, infectious, and health conditions, wherein the POH
saliva testing uses a biological fluid for assaying steroid
hormones including cortisol, a genetic material including
ribonucleic acid (RNA), proteins including enzymes and antibodies,
and a plurality of substances including natural metabolites, a
saliva nitrite, a biomarker for a nitric oxide status, a
Cardiovascular Disease, a Nitric Oxide, a salivary biomarker for
cardio-protection, wherein the POH saliva testing is used to screen
for and diagnose a plurality of health conditions and disease
states including Cushing's disease, anovulation, HIV, cancer,
parasites, hypogonadism, and allergies; wherein the POH saliva
testing is used to assess circadian rhythm shifts in astronauts
before flight and to evaluate hormonal profiles of soldiers
undergoing military survival training; wherein the POH saliva
testing is performed as a POH saliva testing cite to provide
collection, safety, non-invasiveness, affordability, accuracy, and
capacity to circumvent venipuncture as compared to blood testing
and a plurality of types of diagnostic testing; wherein upon
obtaining multiple saliva samples, the POH saliva testing is used
to perform chronobiological assessments spanning hours, days, or
weeks; wherein collecting a whole saliva by passive drool during
the POH saliva testing facilitates increasing a size of sample
collection to allow the saliva samples to be tested for a plurality
of biomarkers, freezing a left over specimen of a saliva sample of
the saliva samples to be further used, to eliminate contamination
by eliminating extra saliva collection devices and a need to induce
a saliva flow; wherein the POH saliva testing provides for
detection of steroid hormones and antibodies in the saliva sample,
additional proteins, a genetic material, and markers of nutritional
status.
10. The device of claim 1, wherein the display is further operable
to display data associated with the activity of the user, the
activity of the user including calories burned, sleep quality,
breaths per minute, snoring breaks, steps walked, and distance
walked; wherein tumor DNA are used as a marker for screening, early
detection, and monitoring, traces of RNA from cancer cells are
found in a drop of saliva, the RNA is a molecule that plays a key
role in transcription of DNA, the mobile and wearable device screen
process by which a genetic material is read in order to detect the
proteins by detecting genetic mutations in a protein from epidermal
factor receptor, by examining RNA in samples on mobile and wearable
screens; wherein it is therefore possible to tell what sorts of
processes are going on inside a cell by seeking out fragments of
tumor RNA in saliva, including those associated with cancer;
wherein the wearable and mobile personal digital device is
integrated with one or more thin film silicon photonic biosensor
that uses beams of light to detect tiny changes in the composition
of a saliva or urine sample on the display of the wearable and
mobile personal digital device; wherein which essentially looks at
the level of binding between a DNA probe and target microRNA to
figure out the level of microRNA in the sample, thereby providing
clues to the presence of some types of cancer, cardiac disease, and
other serious health issues via AI big data analysis; wherein
biosensors designed to detect a specific biological analyte by
essentially converting a biological entity including a protein, a
DNA, and an RNA into an electrical signal to be detected and
analyzed by using of biosensors in cancer detection and monitoring;
wherein biosensors are designed to detect emerging cancer
biomarkers and to determine drug effectiveness at various target
sites; wherein biosensor has the potential to provide fast and
accurate detection, reliable imaging of cancer cells, and
monitoring of angiogenesis and cancer metastasis, and the ability
to determine the effectiveness of anticancer chemotherapy
agents.
11. The device of claim 1, wherein the processor is further
operable to: provide data associated with the one or more biometric
parameters to be displayed on the display, the one or more
biometric parameters include one or more of the following: a blood
pressure, a heart rate, a glucose level, a body temperature, an
environment temperature, and arterial properties; wherein the
wearer monitors CAR-T cell therapy by separating the peripheral
blood of the bearer patient immune T cells in vitro sterile
culture, and then genetically engineered and modified, it is based
on the type of tumor specificity of patients suffering from genetic
modification and in vitro expansion, and finally the wearer patient
reinfusion body, achieve the purpose of killing tumor cells;
wherein the wearer monitors CAR-T cell preparation, insert CAR
molecular DNA be integrated into human chromosome 19 on the first
intron AAVSI site, the donor DNA sequence provided in the CAR
molecule containing a sequence upstream of the receptor sequences
and AAVSI cut left arm sequence homology, CAR downstream molecule
containing poly-A sequence and AAVSI the right arm sequence
homology. wherein the wearer furthermore monitors gene edited T
cells applications to use the antibody molecules of various types
of tumor surface antigens into the application of human T cell
genome AAVSI sites; wherein to avoid potential off-target effects,
a mutant enzyme of Ni ckase Cas9 used to only cut off a strand of
DNA, the single-stranded gap will promote homologous recombination,
therefore, to insert CAR molecules precisely integrated into human
T cell genome specific "safe harbor" sites, which does not affect
the function of any normal human gene, avoiding the use of viral
vectors security risks and exogenous gene transit insert a series
of fatal risk of genetic toxicity and immunogenicity of the genome;
wherein integrate various types of tumor surface antigen receptor
to human T cell genome AAVSI site express specific receptors for
all types of tumor-specific T cells recognize and kill tumor cells;
wherein the wearer monitors a chimeric antigen receptor (CAR) T
cells and a preparation method include allograft, aimed at
resolving existing T cell separation difficulties from patient own
self, who cannot effectively kill tumor cells and mixed with the
issue of tumor cells; wherein another kind T cells include
allograft chimeric T cell antigen receptor, said chimeric T cell
antigen receptors including T cell receptors and a chimeric
antigen, wherein the T cell is a genetically engineered allogeneic
transplantation can T cells. wherein the allograft include chimeric
T cell antigen receptor, wherein the T cells through gene knockout
in a specific point of genetically modified T cells; wherein the
allograft may be chimeric T cell antigen receptor, wherein said
specific gene of TCR gene, including the TCR [alpha] chain and a
.beta. chain, said genetically modified specifically: a in the TCR
and corresponding foreign gene encoding .beta.-chain of one or two
chain constant region exon by gene knockout point, the TCR of T
cells is not active, and the T cells being allogeneic; wherein the
allograft may be chimeric T cell antigen receptor, wherein said
chimeric antigen receptor by a scFv antigen binding sequence, a
transmembrane sequence, and intracellular signal transduction
sequence; wherein the allograft may be chimeric T cell antigen
receptor, wherein said scFv antigen binding sequence comprises a
light chain variable region sequence and a heavy chain variable
region sequence; wherein the allograft may be chimeric T cell
antigen receptor, wherein the transmembrane sequence is CD8,
wherein said intracellular signal transduction sequence comprising
the CD28 extracellular domain sequence, the sequence and the
intracellular domain of 4-1BB intracellular CD3G domain sequences;
wherein a species, may allograft chimeric antigen receptor T cells,
which comprises of the TCR .alpha. and .beta. chains of one or both
chains constant outside the corresponding region of the gene coding
exon, the T cells TCR is not active, and then be able to obtain
allogeneic T cells; wherein furthermore carrying the chimeric
receptor antigen lentivirus infection obtained by the allogeneic T
cells obtained after completion of infection allogeneic chimeric T
cell antigen receptor; wherein the wearer monitors T cells
genetically engineered, in turn, and makes this T cell allografts
without causing immune rejection, thereby preventing production of
allograft immune rejection T cell binding third-generation CAR to
prepare a allograft universal chimeric antigen receptor T cells to
tumor therapy.
12. The device of claim 1, wherein the POH saliva testing includes
testing saliva components using a glucose test or a cholesterol
test, the glucose test and the cholesterol test being grouped
together into a POH saliva panel; wherein the POH saliva testing is
used in health care to determine physiological and biochemical
states including a disease, a mineral content, pharmaceutical drug
effectiveness, and organ function of the user, and to detect drug
abuse in drug tests; wherein the POH saliva panel includes a basic
metabolic panel or a complete saliva count, wherein the basic
metabolic panel measures sodium, potassium, chloride, bicarbonate,
blood urea nitrogen (BUN), magnesium, creatinine, glucose, and
calcium; and wherein the POH saliva testing includes tests on
cholesterol levels to determine a total cholesterol level, a
low-density lipoprotein (LDL) cholesterol level, a high-density
lipoprotein (HDL) cholesterol level, and a triglyceride level.
13. The device of claim 12, wherein the POH saliva testing is
associated with salivary glands of a human including parotid
glands, submandibular glands, sublingual glands, and minor salivary
glands, wherein the salivary glands and the minor salivary glands
secrete a mixture of salivary components including biological
chemicals, electrolytes, proteins, genetic material, and
polysaccharides; wherein the mixture of salivary components enters
an acinus and duct system of the salivary gland from surrounding
capillaries via an intervening tissue fluid, wherein a plurality of
substances are produced within the salivary glands; wherein a level
of each of the salivary components varies depending on a health
status of the user and a presence of a disease; wherein measuring
the salivary components in the saliva is used to screen for
infections, allergies, hormonal disturbances, and neoplasms.
14. The device of claim 1, further comprising a vibration unit in
communication with the processor, the vibration unit being
activated in response to receiving the data from the external
device to notify the user about receipt of the data; wherein the
notification is provided via one or more of the following: a
vibration, a sound, and a light indication.
15. The device of claim 1, wherein the POH saliva testing includes
detecting conditions including one or more of the following: a
Cushing's disease; an Addison's disease, altered female hormone
states including polycystic ovary syndrome, menopause, anovulation,
and hormonal alterations in cycling women; altered male hormone
states including hypogonadism, andropause, and
hyperestrogenicstates; metabolic disturbances including insulin
resistance, diabetes, and metabolic syndrome; benign and metastatic
neoplasms including breast cancer, pancreatic cancer, and oral
cancer; infectious conditions including HIV, viral hepatitis,
amoebiasis, and helicobacter pylori infection; and allergic
conditions including food allergy.
16. The device of claim 1, wherein the processor is further
operable to: detect absence of interaction of the user with the
display, wherein the detection is made based on an eye tracking of
the user, a head tracking of the user, and a spatial position of
the housing; based on the detecting, dim the display; and activate
the display based on the spatial position of the housing or a
gesture of the user body.
17. The device of claim 1, wherein the POH saliva testing includes
a personal genome testing to provide a health and carrier status
for users having a genetic disease, wherein the POH saliva testing
is used to test for a genetic carrier disease including Bloom
Syndrome; a recessive gene disorder associated with height
disorders and a predisposition to develop cancer; wherein the POH
saliva testing is used to test the user for one or more diseases
selected from the following: a Parkinson's disease, a nervous
system disorder impacting movement, a Late-onset Alzheimer's
disease, a progressive brain disorder destroying memory and
thinking skills, a Celiac disease, a disorder resulting in
inability to digest gluten, an Alpha-1 antitrypsin deficiency, a
disorder that raises a risk of lung and liver disease, early-onset
primary dystonia, a movement disorder involving involuntary muscle
contractions and uncontrolled movements, factor XI deficiency, a
blood-clotting disorder, Gaucher disease type 1, an organ and
tissue disorder, Glucose-6-Phosphate Dehydrogenase (G6PD)
deficiency, a red blood cell condition, hereditary hemochromatosis,
an iron overload disorder, hereditary thrombophilia, and a
blood-clot disorder.
18. The device of claim 1, wherein the POH saliva testing is used
in clinical and experimental psychological settings to investigate
psychological phenomenon including anxiety, depression, a
posttraumatic stress disorder, and behavioral disorders; wherein
the POH saliva testing is used to test a cortisol level and an
alpha amylase level being indicative of a stress level, wherein the
cortisol level correlates with the stress level, wherein the
cortisol level rises slowly over time and takes time to return to a
base level thereby indicating that cortisol is associated with a
chronic stress level; wherein the alpha amylase level spikes when
confronted with a stressor and returns to base level after the
stress thereby making measurement of the alpha amylase level to be
a psychological research studying acute stress responses. wherein
saliva samples to test the cortisol level and the alpha amylase
level are collected from users by having the users drool through a
straw into a collection tube while experiencing a stimulus, wherein
the saliva samples are taken at a predetermined interval to record
a gradual change in the cortisol level and the alpha amylase level,
wherein the collecting of saliva samples is non-invasive; wherein
the cortisol level corresponds to experiencing physiological
symptoms of nervousness by the users including a heart rate,
sweating, and skin conductance; wherein the testing of the alpha
amylase level in the saliva samples provides examining
sympathoadrenal medullary (SAM) activity; wherein the alpha amylase
level correlates with autonomic nervous system activity levels and
reacts to a hormone being norepinephrine.
19. The device of claim 1, wherein the processor is further
operable to: analyze a message received by the external device, the
analyzing including one or more of the following: parsing a text;
reading an image, and recognizing a voice; based on the analyzing,
display one or more possible replies; receive, from the user, a
selection of a reply from the one or more possible replies; and
based on the selection, send the reply to the external device, the
healthcare center, the hospital, the emergency center, the saliva
research center and DNA Genetic Testing and Analysis
authorities.
20. An artificial intelligence (AI) wearable and mobile personal
digital device for facilitating mobile device payments, personal
saliva testing, personal use, and health care, and being a point of
healthcare (POH) saliva testing device for POH saliva testing, the
AI wearable and mobile personal digital device steps comprising: a
mounting clip; a pinhole; a light-emitting diode (LED) board; a
battery; a set of sensors; a processor being operable to: analyze
the activity of the user; and based on the analyzing, display one
or more diagrams on the display, the one or mode diagrams
representing one or more activity types of the user; wherein the
POH saliva testing device is the POH saliva testing device without
a sample insert used as a POH see-through screening apparatus and
is a slide-on attachment for the AI wearable and mobile personal
digital device of the user that has the camera with a polarized
light and magnification to take close-up and super clear images of
skin lesions, wherein the slide-on attachment works in conjunction
with a mobile application to enable the user to take an image,
wherein the camera has a polarised light that goes into the skin to
show the skin lesions, the camera has at least 20-fold
magnification capacity, the mobile application enabling the user to
mark the skin legion on a virtual body and to send the virtual body
with the skin legion to a health professional for a feedback,
wherein sending the virtual body includes charging a fee; wherein
the POH saliva testing device without the sample insert used as the
POH see-through screening apparatus is used by the user recovering
from skin cancer who has to see the health professional on a
regular basis; wherein the user having the POH saliva testing
device without the sample insert used as the POH see-through
screening apparatus keeps track of skin lesions, monitors changes
in the skin lesions, and shares images of the skin lesions with the
health professional without having to come in for an appointment to
the health professional, wherein in case the health professional
has a concern associated with the images, the user schedules a
follow up appointment with the health professional; wherein the POH
saliva testing device without the sample insert used as the POH
see-through screening apparatus is an optical probe for a real-time
diagnosis of epithelial-based types of cancer to identify and
classify precancerous and cancerous skin lesions at an early,
wherein the identifying is performed in 80-95 seconds, wherein the
optical probe uses both imaging and non-imaging optics to penetrate
a cervix to reach a stroma and create a map indicating an exact
location and classification of a diseased skin lesion; wherein the
POH saliva testing device without the sample insert used as the POH
see-through screening apparatus is a user-agnostic, highly
correlated tool used to eliminate a need for biopsies and create an
optimized environment for cancer and pre-cancer diagnoses; wherein
the POH saliva testing device without the sample insert used as the
POH see-through screening apparatus is used to diagnose other
HPV-related types of cancer that develop in epithelium cells
including oral cancer, laryngeal cancer, and colon cancer.
21. An artificial intelligence (AI) wearable and mobile personal
digital device for facilitating mobile device payments, personal
saliva testing, personal use, and health care, and being a point of
healthcare (POH) saliva testing device for POH saliva testing, the
AI wearable and mobile personal digital device steps comprising: a
mounting clip; a pinhole; a light-emitting diode (LED) board; a
battery; a set of sensors; a processor being operable to: control
an operation of a camera of the external device; access audio files
stored on the external device; wirelessly connect with earphones;
and reproduce the audio files using the earphones; wherein the POH
saliva testing device is the POH saliva testing device without a
sample insert used as a POH see-through screening apparatus and is
a Health Insurance Portability and Accountability Act-compliant
skin cancer screening platform for a mobile and cloud-based data
processing machine learning and artificial intelligence apparatus
that enables the health professional to identify and monitor
changes in skin of the user, the mobile and cloud-based data
processing machine learning and artificial intelligence apparatus
supports the Total Body Photography method, the Total Body
Photography method uses at least 18 poses that cover a body of the
user using an SLR camera or a smartphone; wherein the POH saliva
testing device without the sample insert used as the POH
see-through screening apparatus is associated with using an
algorithm based on a concept of aerial photos to allow the health
professional to identify a mole, take measurements associated with
the mole, track parameter changes associated with the mole, and
compare the measurements over time; wherein the POH saliva testing
device without the sample insert used as the POH see-through
screening apparatus is associated with early-stage breast cancer
screening by placing the POH saliva testing device without the
sample insert used as the POH see-through screening apparatus
against a breast of the user, obtaining a 3-dimensional image of a
breast tissue in 6 seconds, and identifying early-stage malignant
growths on the 3-dimensional image; wherein the POH saliva testing
device without the sample insert used as the POH see-through
screening apparatus is associated with using radio frequency
technology being safe and non-ionizing to allow self-screenings to
be used instead of X-ray-based painful and uncomfortable
mammograms, wherein the POH saliva testing device without the
sample insert used as the POH see-through screening apparatus is
associated with using image processing algorithms to diagnose and
monitor medical conditions of the user, wherein the POH saliva
testing device without the sample insert used as the POH
see-through screening apparatus is associated with using sensors
and enhanced computing ability provided by the processor or an
external device to provide a practical, accurate, and low-cost
solution for medical diagnosis and monitoring; wherein the sensors
include image sensors that capture photos and videos with
significant detail and resolution of at least 10 megapixels to
enable analysis of the photos and the videos for self-diagnosis of
a disease, self-monitoring of health conditions of the user using
the AI wearable and mobile personal digital device.
22. The device of claim 21, wherein the processor is configured to
perform a payment transaction, the payment transaction being
performed by the processor is associated with a NFC, the payment
transaction being performed for purchases online and offline,
wherein a payment associated with the payment transaction is
transferred from a pre-paid account of the user or charged to a
mobile account of the user or a bank account of the user; wherein
the payment includes at least a one-touch and one-scan payment for
street parking in demarcated areas, the payment being performed
using a license plate, transponder tags, barcode stickers, and
reading the code from the display; wherein a merchant uses a
combination of the NFC and the code on the display for performing
the one-touch and one-scan payment; wherein the NFC is used to
establish radio communication with the external device by touching
the housing and the external device or bringing the housing and the
external device into proximity, the proximity includes a distance
of up to 10 centimeters; wherein the processor is operable to
operate in three modes, the three modes including an NFC target
mode when the device is acting as a credential, a NFC initiator
mode when the device is acting as a reader, and an NFC peer-to-peer
mode; wherein the payment is further associated with advertisement
tags, two-dimensional barcodes, and ultra-high frequency tags;
wherein the processor is operable to be connected to a cloud;
wherein user credentials are provisioned over an air; the payment
being associated with a payment application associated with the
processor to control transferring of the payment and access payment
readers; wherein the NFC unit is operable to connect to a
third-party NFC device with a server for data; wherein the device
is adapted to enable a Bluetooth low energy payment; wherein the
device is associated with one or more of a transactional payment
based on Unstructured Supplementary Service Data, Short Message
Service, direct operator billing, a credit card mobile payment, an
online wallet, a QR code payment, contactless NFC, a cloud-based
mobile payment, an audio signal-based payment, a Bluetooth Low
Energy signal beacon payment, an in-application payment, a Software
Development Kit payment, an Application Programming Interface
payment, a social networking payment, and a direct carrier and bank
co-operation.
23. The device of claim 21, wherein the POH saliva testing includes
human immunodeficiency virus (HIV) testing to find a lentivirus
being a subgroup of retrovirus and causing a HIV infection and
acquired immunodeficiency syndrome (AIDS), wherein the HIV
infection infects vital cells in a human immune system including
helper T cells including CD4.sup.+ T cells, macrophages, and
dendritic cells, wherein the HIV infection results in lowering
levels of the CD4.sup.+ T cells through a plurality of mechanisms
including pyroptosis of abortively infected T cells, apoptosis of
uninfected bystander cells, direct viral killing of infected cells,
and killing of infected CD4.sup.+ T cells by CD8 cytotoxic
lymphocytes that recognize infected CD4.sup.+ T cells.
24. The device of claim 21, further comprising one or more
biometric sensors operable to non-invasively monitor a glucose
level, the glucose level being monitored using a saliva testing;
one or more thin film silicon photonic biosensors that use beams of
light to detect tiny changes in a composition of a saliva sample or
an urine sample on the display of wearable device or mobile device;
wherein the one or more thin film silicon photonic biosensors
essentially look at the level of binding between a DNA probe and
target microRNA to figure out the level of microRNA in the sample,
thereby providing clues to the presence of some types of cancer,
cardiac disease, and other serious health issues via artificial
intelligence (AI) big data analysis; and wherein the processor is
associated with an operating system operable to pair with
third-party applications running on the external device; wherein
the processor integrates a third-party developer technology and the
third-party applications and notifications into a form factor;
wherein the processor is operable to download applications; wherein
the device acts as or is associated with smart textiles, an
activity tracker, a smartwatch, smartglasses, a GPS watch, mixed
reality, computer-mediated reality, clothing technology, Smart
closing, healthcare, augmenter reality, and smart and connected
devices.
25. The device of claim 21, wherein the processor is further
operable to: detect presence of another wearable personal digital
device for facilitating mobile device payments, personal use, and
health care in proximity to the wearable personal digital device
for facilitating mobile device payments, personal use, and health
care; and based on the detecting, initiate data transmission
between the wearable personal digital device for facilitating
mobile device payments, personal use, and health care and another
wearable personal digital device for facilitating mobile device
payments, personal use, and health care.
26. The device of claim 21, wherein the processor is further
operable to: receive, from the user, a content access request for
at least one content item of content data stored in the memory
unit; reading access rules stored in the memory unit, the access
rules being associated with a use of the at least one content item;
determine, based on the access rules, that an access to the at
least one content item is permitted; and reproduce, based on the
determining, the at least one content item to the user; wherein the
content data includes audio data, video data, text, software, game
data; wherein the device acts as a data carrier and includes an
interface for sending and receiving data, the memory unit being
operable to store received content data, provide payment validation
data to the external device, store a record of access made to the
stored content data, and the access rules for controlling access to
the stored content data; the processor being further operable to
access control data and supplementary data including hot links to
websites and advertising data; wherein payment data, the stored
content data and access rules data are used to reduce a risk of an
unauthorized access to the content data.
27. A wearable and mobile personal digital device for facilitating
mobile device payments, personal saliva testing, personal use, and
health care, and being a point of healthcare (POH) saliva testing
device for POH saliva testing, the wearable and mobile personal
digital device steps comprising: a mounting clip; a saliva sample
insert apparatus, wherein the saliva sample insert apparatus is
configured to receive a saliva sample, an urine sample, and a blood
sample; a pinhole; a light emitting diode (LED) board; a battery; a
set of sensors; a processor being operable to: receive data from an
external device associated with the POH saliva testing; based on
the data, provide a notification to a user; receive a user input;
and perform a command, the command being selected based on the user
input; a smartphone-based POH apparatus using a technology for
making holograms to collect detailed microscopic images from the
saliva sample, the urine sample, and the blood sample for digital
analysis of a molecular composition of cells and tissues in the
saliva sample, the urine sample, and the blood sample; a
smartwatch-based POH apparatus using a technology for making
holograms to collect detailed microscopic images from the saliva
sample, the urine sample, and the blood sample for digital analysis
of a molecular composition of cells and tissues in the saliva
sample, the urine sample, and the blood sample; a smart
glasses-based POH apparatus using a technology for making holograms
to collect detailed microscopic images from the saliva sample, the
urine sample, and the blood sample for digital analysis of a
molecular composition of cells and tissues in the saliva sample,
the urine sample, and the blood sample; a handheld POH device
configured to transmit results of a plurality of forms of
electrochemical analysis directly to a remote computer using a
standard mobile phone, wherein the handheld POH device is
configured to be used to monitor diabetes, detect malaria, and
analyze drinking water for environmental pollutants; wherein the a
handheld POH device is configured to be used for saliva testing,
urine testing, and blood testing to detect drug usage, wherein the
saliva testing, the urine testing, and the blood testing is
performed without a need for collection facilities or same-sex
observed collections thereby providing performing the saliva
testing, the urine testing, and the blood testing immediately after
accidents; wherein the POH saliva testing includes POH saliva mouth
swab drug tests to detect drugs in a user immediately after use and
for one or more days afterwards; wherein the POH saliva testing is
used for pre-employment drug testing, random drug testing, and
post-accident drug testing and is a part of a comprehensive drug
testing program; wherein the POH saliva testing is used to detect
abuse of common illicit drugs including marijuana, cocaine, heroin,
illicit drugs, and prescription drugs; wherein the saliva testing,
the urine testing, and the blood testing include testing for human
immunodeficiency virus (HIV) to find lentivirus being a subgroup of
retrovirus that causes a HIV infection and acquired
immunodeficiency syndrome (AIDS), wherein the HIV infection infects
vital cells in a human immune system including helper T cells
including CD4.sup.+ T cells, macrophages, and dendritic cells,
wherein the HIV infection results in lowering levels of the
CD4.sup.+ T cells through a plurality of mechanisms including
pyroptosis of abortively infected T cells, apoptosis of uninfected
bystander cells, direct viral killing of infected cells, and
killing of infected CD4.sup.+ T cells by CD8 cytotoxic lymphocytes
that recognize infected CD4.sup.+ T cells.
28. The device of claim 27, further configured to implement
artificial intelligence financial and personal health data
processing, multimedia capture, payment transactions, and digital
global POH data processing for mobile and wearable devices, wherein
the processor is further configured to: receive a first input of a
user; in response to the first input of the user, initiate one or
more sensors to capture multimedia to obtain captured multimedia;
receive a second input of the user, wherein the first input of the
user includes a touch engagement of the user with a display of a
mobile and wearable device and the second input of the user
includes a touch release of the user from the display of the mobile
and wearable device; analyze data associated with the first input
of the user and the second input of the user, wherein the analyzing
includes determining time between the first input of the user and
the second input of the user; based on the analysis, selectively
select a multimedia capture mode or a payment transaction mode,
wherein the multimedia capture mode comprises the user using the
mobile and wearable device to capture multimedia content, wherein
the selection of the multimedia capture mode and the transaction
mode is determined by comparison of the time between the first
input and the second input with a predetermined time, wherein only
a multimedia storing mode or a transaction mode to be selected at a
single time, and wherein the multimedia capture mode is associated
with a plurality of types of multimedia, wherein each of the
plurality of types of multimedia being captured are determined by
the time between the first input and second input in the multimedia
capture mode; based on the analysis, selectively select one of
multimedia storing modes or a payment transaction mode, wherein
each of the multimedia storing modes is associated with at least
one of a plurality of types of the multimedia; in response to the
selection of the multimedia capture storing modes, process the
captured multimedia to obtain a type of the multimedia captured in
the multimedia capture mode; store the type of the multimedia
captured and the captured multimedia to a database to obtain a
stored type of the multimedia; in response to the selection of the
payment transaction mode, receive transaction data, wherein the
transaction data comprises at least a payment amount and a
recipient; based on the transaction data, user payment data, and
recipient payment data, perform a payment transaction, wherein the
user payment data and the recipient payment data are stored in the
database; wherein the mobile and wearable device includes at least
one of a handheld computing device, a smartphone, a tablet
computer, a personal digital assistant, a e-textile item, an
activity tracker, a smartwatch, smartglasses, a Global Positioning
System (GPS) watch, a mixed reality device, a computer-mediated
reality device, a clothing technology device, and a wearable
device, the wearable device having a band adapted to secure the
wearable device on a human body, the human body including a wrist,
an arm, a neck, a head, a leg, a waist, an ear, a finger, and any
other part of the human body, wherein the band is adapted to secure
the wearable device under, within or on clothing, and wherein the
band includes a rechargeable battery configured to power the
wearable device; the processor being further configured to use a
global world universal digital mobile and wearable currency, the
processor being further configured to: receive a transfer request,
wherein the transfer request is authorized upon receiving
authorization data from a sender having a sender account from which
funds are transferred from, the authorization data comprising a
password, personal identification number (PIN) code, and biometric
data comprising a face of the sender; and based on the receiving,
authorize the sender to provide the transfer request when the
authorization data providing for the transfer request matches
previously registered corresponding authorization data; wherein the
transfer is associated with an amount represented in tokens of the
global world universal digital mobile and wearable currency stored
on the mobile and wearable device of the sender, the transfer
request including at least the sender account, a recipient account,
and the amount; and based on the transfer request, prior to
transferring, encrypt the currency by assigning a unique key to the
transferring and signing the global world universal digital mobile
and wearable currency using a cryptographic signature the amount
from the sender account to the recipient account wherein the tokens
stored on the mobile and wearable device of the sender are printed
with the face of the sender, and upon transfer from the mobile and
wearable device of the sender to a mobile and wearable device of
the recipient, the tokens are converted by replacing the face of
the sender with a recipient face, wherein the currency is not a
currency of any national government but is operable to be exchanged
by the mobile device into a user defined national currency.
29. The device of claim 27, wherein the POH saliva testing includes
POH molecular diagnostics to analyze biological markers in a genome
and proteome by applying molecular biology to medical testing,
wherein body fluids are used to diagnose and monitor diseases,
detect a risk, and decide therapies to work for patients; wherein
the POH saliva testing of the body fluids includes analyzing
specifics of the patients and diseases, including infectious
diseases, oncology, a human leucocyte antigen, coagulation, and
pharmacogenomics.
30. The device of claim 27, wherein the POH saliva testing includes
POH screening using a group of sensors, wherein the POH screening
is used in a population to identify a possible presence of an
as-yet-undiagnosed disease in individuals without disease signs or
symptoms, the individuals including a pre-symptomatic or
unrecognized symptomatic disease; wherein the POH screening is used
in screening interventions to identify diseases in early stages and
to enable early disease intervention and management to reduce
mortality and suffering from a disease; wherein the POH screening
includes: a universal screening including screening of a plurality
of individuals in a specific category, a case finding including
screening a group of individuals based on a presence of risk
factors, wherein POH screening tests of the POH screening include
one or more of the following: a cancer screening including a pap
smear or liquid-based cytology to detect potentially precancerous
lesions and prevent cervical cancer, Mammography to detect breast
cancer, colonoscopy and fecal occult blood test to detect
colorectal cancer, dermatological check to detect melanoma; a
purified protein derivative test to screen for exposure to
tuberculosis; beck depression inventory to screen for depression;
Social Phobia and Anxiety Inventory Brief (SPAI-B), a Liebowitz
Social Anxiety Scale and social phobia inventory to screen for
social anxiety disorder; alpha-fetoprotein, blood tests and
ultrasound scans for pregnant women to detect fetal abnormalities;
bitewing radiographs to screen for interproximal dental caries;
ophthalmoscopy or digital photography and image grading for
diabetic retinopathy; ultrasound scan for abdominal aortic
aneurysm; screening of potential sperm bank donors; screening for
metabolic syndrome; and screening for potential hearing loss in
newborns.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation-in-part of U.S. patent
application Ser. No. 15/439,276, entitled "WEARABLE PERSONAL
DIGITAL DEVICE FOR FACILITATING MOBILE DEVICE PAYMENTS AND PERSONAL
USE", filed on Feb. 22, 2017, U.S. patent application Ser. No.
14/695,256, entitled "WEARABLE PERSONAL DIGITAL DEVICE FOR
FACILITATING MOBILE DEVICE PAYMENTS AND PERSONAL USE", filed on
Apr. 24, 2015, U.S. patent application Ser. No. 15/345,349,
entitled "SYSTEMS AND METHODS FOR MESSAGING, CALLING, DIGITAL
MULTIMEDIA CAPTURE AND PAYMENT TRANSACTIONS", filed on Nov. 7,
2016; U.S. patent application Ser. No. 15/343,227, entitled
"SYSTEMS AND METHODS FOR MOBILE APPLICATION, WEARABLE APPLICATION,
TRANSACTIONAL MESSAGING, CALLING, DIGITAL MULTIMEDIA CAPTURE AND
PAYMENT TRANSACTIONS", filed on Nov. 4, 2016, which is a
continuation-in-part of U.S. patent application Ser. No.
14/957,644, entitled "SYSTEMS AND METHODS FOR MOBILE APPLICATION,
WEARABLE APPLICATION, TRANSACTIONAL MESSAGING, CALLING, DIGITAL
MULTIMEDIA CAPTURE AND PAYMENT TRANSACTIONS", filed on Dec. 3,
2015, which is a continuation-in-part of U.S. patent application
Ser. No. 14/815,988, entitled "SYSTEMS AND METHODS FOR MOBILE
APPLICATION, WEARABLE APPLICATION, TRANSACTIONAL MESSAGING,
CALLING, DIGITAL MULTIMEDIA CAPTURE AND PAYMENT TRANSACTIONS",
filed on Aug. 1, 2015, which claims priority to U.S. patent
application Ser. No. 13/760,214, entitled "WEARABLE PERSONAL
DIGITAL DEVICE FOR FACILITATING MOBILE DEVICE PAYMENTS AND PERSONAL
USE", filed on Feb. 6, 2013, which is a continuation-in-part of
U.S. patent application Ser. No. 10/677,098, entitled "EFFICIENT
TRANSACTIONAL MESSAGING BETWEEN LOOSELY COUPLED CLIENT AND SERVER
OVER MULTIPLE INTERMITTENT NETWORKS WITH POLICY BASED ROUTING",
filed on Sep. 30, 2003, which claims priority to Provisional
Application No. 60/415,546, entitled "DATA PROCESSING SYSTEM",
filed on Oct. 1, 2002, which are incorporated herein by reference
in their entirety, which are incorporated herein by reference in
its entirety.
FIELD
[0002] This application relates generally to personal mobile
devices and, more specifically, to wearable personal digital
devices for facilitating mobile device payments and personal
use.
BACKGROUND
[0003] Mobile devices gain growing importance in daily activities
of their users with more and more functions being performed by
mobile devices. Some of such functions may include mobile
communication, mobile payments, health monitoring, and so forth. In
addition to that, carrying a mobile phone, a tablet personal
computer, or a laptop may not always be comfortable, for example,
during physical activity or leisure time. For such purposes,
wearable mobile devices, e.g. wristwatch digital devices, may be
used. However, use of the wearable mobile devices may be
inconvenient because of limited software functionality of such
devices.
[0004] Furthermore, a wristwatch digital device may be
communicatively coupled to a smartphone and display notifications
related to smartphone activity, e.g. an incoming call or a message.
However, a user may be unable to respond to the notification
directly using the wristwatch digital device. Additionally,
conventional mobile devices cannot be used for personal saliva
testing, personal urine testing, or personal blood testing.
SUMMARY
[0005] This summary is provided to introduce a selection of
concepts in a simplified form that are further described below in
the Detailed Description. This summary is not intended to identify
key features or essential features of the claimed subject matter,
nor is it intended to be used as an aid in determining the scope of
the claimed subject matter.
[0006] Provided are Artificial Intelligence (AI) wearable and
mobile personal digital devices for facilitating mobile device
payments, personal saliva testing, personal use, and health care
being point of healthcare (POH) saliva testing devices for POH
saliva testing. An AI wearable and mobile personal digital device
may include a mounting clip, a saliva sample insert apparatus, a
pinhole, a light-emitting diode (LED) board, a battery, a set of
sensors, and a processor. The processor may be operable to receive
data from an external device associated with POH saliva testing.
Based on the data, the processor may provide a notification to a
user. The processor may be further configured to receive a user
input and perform a command, which may be selected based on the
user input. The processor may be further operable to provide a
natural language user interface to communicate with the user. The
natural language user interface may be operable to sense a user
voice and provide a response in a natural language to the user. The
AI wearable and mobile personal digital device may include a near
field communication (NFC) unit communicatively coupled to the
processor and a display communicatively coupled to the processor.
The display may include a touchscreen. The display may further
include a force sensor operable to sense a touch force applied by
the user to the display and calculate coordinates of a touch by the
user, and further operable to analyze the touch force and, based on
the touch force, select a tap command or a press command based on a
predetermined criteria.
[0007] The AI wearable and mobile personal digital device may
include a projector communicatively coupled to the processor. The
projector may be operable to project a data onto a viewing surface
external to the AI wearable and mobile personal digital device. The
data may include a virtual keyboard operable to input commands to
the processor and one or more of the following: the notification of
the external device, time, and data requested by the user, a caller
name, a text message, a reminder, a social media alert, an email, a
weather alert, and so forth.
[0008] The AI wearable and mobile personal digital device may
include a timepiece unit communicatively coupled to the processor
and configured to provide time data. The AI wearable and mobile
personal digital device may further include one or more activity
tracking sensors communicatively coupled to the processor to track
activity of the user. The one or more activity tracking sensors may
be operable to track snoring and, based on tracking of the snoring,
produce an alarm to break snoring. The AI wearable and mobile
personal digital device may further include a memory unit
communicatively coupled to the processor, and a communication
circuit communicatively coupled to the processor and operable to
connect to a wireless network and communicate with the external
device. The AI wearable and mobile personal digital device may
include a housing adapted to enclose at least the processor, the
display, the one or more activity tracking sensors, the memory
unit, and the communication circuit.
[0009] The AI wearable and mobile personal digital device may
further include an input unit communicatively coupled to the
processor. The input unit may extend from the housing and may be
configured to perform one or more of a rotational motion and a
linear motion. The one or more motions may be operable to input
commands to the processor.
[0010] The AI wearable and mobile personal digital device may
further include a band adapted to attach to the housing and to
secure the AI wearable and mobile personal digital device on a user
body. More specifically, the AI wearable and mobile personal
digital device may include a wristwatch.
[0011] The AI wearable and mobile personal digital device may
further include one or more biometric sensors disposed within the
band and operable to sense one or more biometric parameters of the
user. Based on detection that the one or more of the biometric
parameters exceed predetermined limits, the one or more biometric
sensors may be configured to produce the alarm. The one or more
biometric sensors may include lenses operable to use infrared LEDs
and visible-light LEDs to sense a heart rate of the user. The one
or more biometric sensors may include a skin contact sensor data
engine. The skin contact sensor data engine may be operable to
monitor an electrocardiogram of the user and the heart rate of the
user. The electrocardiogram and the heart rate may be
identification and personal data of the user. The skin contact
sensor data engine may be operable to prompt the user to enter a
personal identification number and associate the personal
identification number with both the electrocardiogram and the heart
rate obtained after the AI wearable and mobile personal device has
been secured to a wrist of the user. The electrocardiogram and the
heart rate may be stored in the memory unit as a reference
electrocardiogram and a reference heart rate.
[0012] Additionally, a thermal infrared (IR) measurement of the one
or more biometric sensors may be used to investigate a potential of
cancer detection. The one or more biometric sensors may include an
adhesive sensor system worn on the skin that automatically detects
human falls and fatal diseases, a sensor consisting of a tri-axial
accelerometer, a microcontroller, and a Bluetooth Low Energy
transceiver and worn on the user body to detect a biological
analyte by converting a biological entity into an electrical signal
to be detected and analyzed by using a biosensor in cancer and
fatal diseases detection and monitoring.
[0013] The AI wearable and mobile personal digital device may
further include a haptic touch control actuator operable to produce
a haptic feedback in response to one or more events. The one or
more events may include receiving of the alert, receiving of a
notification, a confirmation, movement of the AI wearable and
mobile personal digital device, receiving of the user input, and
sensing of the one or more biometric parameters. The haptic
feedback may be sensed by the user body. The haptic feedback may
include a plurality of feedback types. Each of the one or more
events may be associated with one of the plurality of feedback
types. The user input may be received using one or more of the
display, the input unit, and the natural language user
interface.
[0014] The AI wearable and mobile personal digital device may
further include a battery disposed in the housing and a magnetic
inductive charging unit operable to magnetically connect to the
housing and wirelessly connect to the battery. The magnetic
inductive charging unit may be operable to wirelessly transfer
energy to the battery. The magnetic inductive charging unit may be
integrated into the housing.
[0015] The AI wearable and mobile personal digital device may
further include a camera communicatively coupled to the processor
and operable to capture a code. The code may include one or more of
the following: a linear dimensional barcode, a two-dimensional
barcode, a snap tag code, and a Quick Response (QR) code. The
processor may be further operable to read the code to obtain one or
more of a product information and a merchant information encoded in
the code and, based on the merchant information, initiate a payment
transaction. The payment transaction may be performed by sending
payment data by the NFC unit to a merchant using the NFC.
[0016] The AI wearable and mobile personal digital device may
further include a swipe card reader communicatively coupled to the
processor and operable to read data of a payment card swiped
through the swipe card reader. The data may be transmitted to the
processor or the external device.
[0017] The processor may be further operable to generate, based on
user payment data and user personal data, a unique code encoding
the user payment data and the user personal data. The user payment
data and the user personal data may be stored in the memory unit.
The processor may be further operable to prompt the user to touch
the display to scan user fingerprints, determine the heart rate and
the electrocardiogram of the user to obtain determined heart rate
and determined electrocardiogram, and compare the scanned user
fingerprints, the heart rate and the user electrocardiogram with
reference fingerprints stored in the memory unit, the reference
heart rate, and the reference electrocardiogram. The processor may
be further operable to detect matches of the scanned user
fingerprints with the reference fingerprints, the determined heart
rate with the reference heart rate, and the determined
electrocardiogram with the reference electrocardiogram. After the
detecting of the matches, the processor may provide the unique code
via the display to a merchant digital device associated with one or
more of a healthcare center, a hospital, an emergency center, and a
saliva research center for performing the payment transaction. Upon
performing the payment transaction, the processor may provide a
payment confirmation to the user.
[0018] In further exemplary embodiments, modules, subsystems, or
devices can be adapted to perform the recited steps. Other features
and exemplary embodiments are described below.
BRIEF DESCRIPTION OF DRAWINGS
[0019] Embodiments are illustrated by way of example and not
limitation in the figures of the accompanying drawings, in which
like references indicate similar elements and in which:
[0020] FIG. 1 illustrates an environment within which the wearable
personal digital device for facilitating mobile device payments,
personal use, and health care and methods for facilitating user
interaction with the wearable personal digital device for
facilitating mobile device payments and personal use can be
implemented, in accordance with some embodiments.
[0021] FIG. 2 illustrates an example wearable personal digital
device for facilitating mobile device payments, personal use, and
health care, in accordance with some embodiments.
[0022] FIG. 3 illustrates an example of a wearable personal digital
device for facilitating mobile device payments, personal use, and
health care scannable by a Point-of-Sale system, in accordance with
some embodiments.
[0023] FIG. 4 shows user interaction with a display of a wearable
personal digital device for facilitating mobile device payments,
personal use, and health care, in accordance with some
embodiments
[0024] FIG. 5 is a flow chart illustrating a method for
facilitating user interaction with a wearable personal digital
device for facilitating mobile device payments, personal use, and
health care, in accordance with certain embodiments.
[0025] FIG. 6 illustrates an example of wearable personal digital
devices for facilitating mobile device payments, personal use, and
health care, in accordance with some embodiments.
[0026] FIG. 7 illustrates an example of wearable personal digital
devices for facilitating mobile device payments, personal use, and
health care, in accordance with some embodiments.
[0027] FIG. 8 illustrates an example of wearable personal digital
devices for facilitating mobile device payments, personal use, and
health care, in accordance with some embodiments.
[0028] FIG. 9 illustrates an artificial intelligence wearable and
mobile personal digital device for facilitating mobile device
payments, personal saliva testing, personal use, and health care
being a of healthcare saliva testing device for point of healthcare
saliva testing, according to an example embodiment.
[0029] FIG. 10 shows a point of healthcare saliva testing device
for point of healthcare saliva testing being a component of an
artificial intelligence wearable and mobile personal digital device
for facilitating mobile device payments, personal saliva testing,
personal use, and health care, according to an example
embodiment.
[0030] FIG. 11 shows a point of healthcare saliva testing device
for point of healthcare saliva testing being a component of an
artificial intelligence wearable and mobile personal digital device
for facilitating mobile device payments, personal saliva testing,
personal use, and health care, according to an example
embodiment.
[0031] FIG. 12 shows a right side view of the point of healthcare
saliva testing device, a left side view of the point of healthcare
saliva testing device, a front view of the point of healthcare
saliva testing device, and a rear view of the point of healthcare
saliva testing device, according to an example embodiment.
[0032] FIG. 13 shows a top view of the point of healthcare saliva
testing device and a bottom view of the point of healthcare saliva
testing device, according to an example embodiment.
[0033] FIG. 14 shows a general view of an artificial intelligence
wearable and mobile personal digital device with a POH saliva
testing device for point of healthcare saliva testing, according to
an example embodiment.
[0034] FIG. 15 shows schematic representations representing a
wearable and mobile personal digital device for facilitating mobile
device payments, personal saliva testing, personal use, and health
care, and being a POH saliva testing device for point of healthcare
saliva testing, in which the wearable and mobile personal digital
device is a smartwatch, according to an example embodiment.
[0035] FIG. 16 shows a schematic representation representing a
wearable and mobile personal digital device for facilitating mobile
device payments, personal saliva testing, personal use, and health
care, and being a point of healthcare saliva testing device for
point of healthcare saliva testing, in which the wearable and
mobile personal digital device is a smartphone and a smartwatch,
according to an example embodiment.
DETAILED DESCRIPTION
[0036] In the following description, numerous specific details are
set forth in order to provide a thorough understanding of the
presented concepts. The presented concepts may be practiced without
some or all of these specific details. In other instances, well
known process operations have not been described in detail so as to
not unnecessarily obscure the described concepts. While some
concepts will be described in conjunction with the specific
embodiments, it will be understood that these embodiments are not
intended to be limiting.
[0037] A wearable personal digital (WPD) device for facilitating
mobile device payments, personal use, and health care and related
methods are described herein. The WPD device may include a housing
enclosing all components of the WPD device and a band attached to
the housing. Furthermore, the WPD device may perform a function of
a health and activity monitor. More specifically, the WPD device
may sense biometric data associated with the user (blood pressure,
heart rate, temperature, and so forth) using biometric sensors
and/or receive data on user movements using accelerometers or a
Global Positioning System (GPS) unit. Biometric data and user
movement data may be shown on a display of the WPD device, stored
in a memory unit of the WPD device, and/or processed by a processor
of the WPD device to produce historical or averaged data.
[0038] The WPD device may be communicatively coupled with an
external device, such as a smartphone. The WPD device and the
smartphone may communicate using a wireless network, such as a
Wi-Fi network or a Bluetooth network. The WPD device may display
notifications from the smartphone. The notifications may represent
receipt of any type of data by the smartphone, for example, a phone
call, a message, an upcoming calendar event, a social network
event, and the like. A user may respond to the notification
directly via the WPD device, or using the smartphone. The biometric
data and user movement data collected by the WPD device may be sent
to the smartphone for further processing.
[0039] The display of the WPD device may be represented by a
touchscreen. The user may provide commands to the WPD device by
varying the time of user interaction with the touchscreen. More
specifically, the user may vary the time of pressing the
touchscreen. Different time of pressing the touchscreen may
correspond to different commands. For example, pressing the
touchscreen for 1 second may correspond to a message mode.
Therefore, after the user touches the touchscreen for 1 sec and
releases a user finger from the touchscreen, the message mode may
be activated. Similarly, pressing the touchscreen for 5 seconds may
correspond to a payment mode. The payment mode may be performed by
using scanning of codes. Additionally, payment cards may be read
using a swipe card reader optionally included into the WPD
device.
[0040] Referring now to the drawings, FIG. 1 illustrates an
environment 100 within which the WPD device 200 and methods for
facilitating user interaction with the WPD device 200 can be
implemented. The environment 100 may include a network 110, a WPD
device 200, a mobile base station 120, a GSM satellite 130, and one
or more external devices 140. The WPD device 200 may be worn by a
user 150. The network 110 may include the Internet or any other
network capable of communicating data between devices. Suitable
networks may include or interface with any one or more of, for
instance, a local intranet, a Personal Area Network, a Local Area
Network, a Wide Area Network, a Metropolitan Area Network, a
virtual private network, a storage area network, a frame relay
connection, an Advanced Intelligent Network connection, a
synchronous optical network connection, a digital T1, T3, E1 or E3
line, Digital Data Service connection, Digital Subscriber Line
connection, an Ethernet connection, an Integrated Services Digital
Network line, a dial-up port such as a V.90, V.34 or V.34bis analog
modem connection, a cable modem, an Asynchronous Transfer Mode
connection, or an Fiber Distributed Data Interface or Copper
Distributed Data Interface connection. Furthermore, communications
may also include links to any of a variety of wireless networks,
including Wireless Application Protocol, General Packet Radio
Service, Global System for Mobile Communication, Code Division
Multiple Access or Time Division Multiple Access, cellular phone
networks, Global Positioning System, cellular digital packet data,
Research in Motion, Limited duplex paging network, Bluetooth radio,
or an IEEE 802.11-based radio frequency network. The network 110
can further include or interface with any one or more of an RS-232
serial connection, an IEEE-1394 (Firewire) connection, a Fiber
Channel connection, an IrDA (infrared) port, a SCSI (Small Computer
Systems Interface) connection, a Universal Serial Bus (USB)
connection or other wired or wireless, digital or analog interface
or connection, mesh or Digi.RTM. networking. The network 110 may be
a network of data processing nodes that are interconnected for the
purpose of data communication. The WPD device 200 may communicate
with the GPS satellite via the network 110 to exchange data on a
geographical location of the WPD device 200. Additionally, the WPD
device 200 may communicate with mobile network operators using the
mobile base station 120.
[0041] For the purposes of communication, the WPD device 200 may be
compatible with one or more of the following network standards:
GSM, CDMA, LTE, IMS, Universal Mobile Telecommunication System
(UMTS), 4G, 5G, 6G and upper, RFID, and so forth.
[0042] FIG. 2 illustrates an example of the WPD device 200 in
accordance with some embodiments. FIG. 2 shows a front view 205 of
the WPD device 200 according to one example embodiment, a front
view 210 of the WPD device 200 according to another example
embodiment, a back view 215 of the WPD device 200 according to an
example embodiment, and a detached view 220 of the WPD device 200
according to an example embodiment.
[0043] As shown on the front view 205 and the back view 215 of FIG.
2, the WPD device 200 may comprise a housing 202, which encloses a
processor (not shown), a display 204, a memory unit (not shown)
communicatively coupled to the processor, a communication circuit
(not shown), biometric sensors (not shown) operable to sense one or
more biometric parameters of the user, activity tracking sensors
(not shown), an input unit 206, a projector (not shown), a
timepiece unit (not shown), a haptic touch control actuator (not
shown), an NFC unit (not shown) communicatively coupled to the
processor, and a band 208.
[0044] The processor may be operable to receive data from an
external device (not shown). Based on the data, the processor may
be operable to provide a notification to a user. In an example
embodiment, the notification may be provided via one or more of the
following: a vibration, a sound, a light indication, and so forth.
The light indication may be generated using a light indicator 218.
The processor may be further operable to receive a user input
provided by the user in response to reviewing the notification.
Furthermore, the processor may be operable to perform a command
selected based on the user input. The processor may be further
operable to provide a natural language user interface to
communicate with the user. The natural language user interface may
be operable to sense a user voice and provide a response in a
natural language to the user. The WPD device 200 may further
include an operating system being executed on the processor. The
operating system may include Android, iOS, Firefox OS, and so
forth.
[0045] The display 204 may be communicatively coupled to the
processor. In an example embodiment, the display 204 includes a
touchscreen. The display 204 may be used to receive the user input.
More specifically, the user may provide the user input by pressing
the display 204, performing movements on the display 204 (e.g.
moving a finger from left to right, from up to down, and the like).
In an example embodiment, the display 204 includes a force sensor.
The force sensor may be operable to sense a touch force applied by
the user to the display 204 and calculate coordinates of a touch by
the user. The force sensor may be further operable to analyze the
touch force and, based on the touch force, select a tap command or
a press command based on a predetermined criteria. The
predetermined criteria may include a value of the touch force. In
an example embodiment, the display 204 may be operable to be
activated based on one or more of the following: a movement of a
user hand, a movement of the user body, a gesture performed by the
user in proximity to the display, a user voice, and so forth.
[0046] In a further example embodiment, the processor may be
operable to detect absence of interaction of the user with the
display. The detection may be made based on an eye tracking of the
user, a head tracking of the user, and a spatial position of the
housing. Based on the detecting, the processor may be operable to
dim the display 204. Additionally, the processor may be operable to
activate the display 204 based on a spatial position of the housing
or a gesture of the user body, such as a user hand.
[0047] In a further example embodiment, the processor may be
operable to receive, using the natural language user interface, a
map request from the user. In response to the map request, the
processor may display via the display 204, a map and a route
depicted on the map. Additionally, the processor may be operable to
provide an indication associated with the route to the user. The
indication may be provided using the haptic feedback. The
indication may include for example, providing haptic feedback, such
as a vibration, one time for a direction to the left, two times for
the direction to the right, or any other type of feedback.
[0048] In a further example embodiment, the processor may be
operable to analyze a message received by the external device. The
analyzing may include one or more of the following: parsing a text;
reading an image, recognizing a voice, and the like. Based on the
analysis, one or more possible replies may be displayed to the user
using the display 204. Furthermore, a selection of a reply from the
one or more possible replies may be received from the user. Based
on the selection, the processor may be operable to send the reply
to the external device.
[0049] In an example embodiment, the processor may be operable to
analyze the user activity. Based on the analyzing, one or more
diagrams may be displayed to the user. The one or mode diagrams may
represent one or more activity types of the user.
[0050] The projector may be communicatively coupled to the
processor. The projector may be operable to project a data onto a
viewing surface. The data may include one or more of the following:
a virtual keyboard, the notification of the external device, time,
data requested by the user, a caller name, a text message, a
reminder, a social media alert, an email, a weather alert, and the
like. The viewing surface may include a user arm, a user hand, and
any surface in proximity to the WPD device 200. In an example
embodiment, the projector may project data to the left side or to
the right side with respect to the wrist of the user.
[0051] The timepiece unit may be communicatively coupled to the
processor and configured to provide time data.
[0052] The communication circuit may be communicatively coupled to
the processor and configured to connect to a wireless network and
communicate with the external device. In an example embodiment, the
communication circuit may include one or more of the following: a
wireless transceiver, a Bluetooth module, a Wi-Fi module, a
communication port, and the like. The communication port may
include one or more of the following: a USB port, a parallel port,
an infrared transceiver port, a radiofrequency transceiver port,
and so forth.
[0053] The input unit 206 may be communicatively coupled to the
processor. In an example embodiment, the input unit 206 may extend
from the housing 202 and may be configured to perform a rotational
motion and a linear motion. Therefore, the input unit 206 may be
rotated around a longitudinal axis of the input unit 206, may be
pushed into the housing 202, or may be extended from the housing
202. Thus, the input unit 206 may be operable to receive the user
input.
[0054] The band 208 may be adapted to attach to the housing 202 and
to secure the WPD device 200 on a user body or clothes of the user.
In various embodiments, the WPD device 200 may be secured on a
wrist, an arm, a neck, a head, a leg, a waist, an ear, a finger, or
any other part of the human body, or on any part of the clothes of
the user. The band 208 may be adapted to secure the WPD device 200
under, within or on the clothes of the user. The band 208 may be an
expansion bracelet, one piece band, two piece band, and so forth.
In some embodiments, the band 208 may include a clasp adapted to
fix the band 208 in a specific position to secure the WPD device
200 around the wrist.
[0055] In an example embodiment, the WPD device 200 may further
include a camera 212. The camera 212 may be configured to capture a
code, such as a linear dimensional code, a two-dimensional code, a
snap tag code, and a Quick Response (QR) code. Upon capturing the
code by the camera 212, the processor may be operable to read the
captured code to obtain product information or merchant information
encoded in the code. More specifically, the user may capture
barcodes of products provided in a store. Upon reading the barcode,
product information may be provided to the user on the display 204.
In an example embodiment, the product information may be displayed
on the external device, such as a smartphone. Additionally, the
merchant information may be retrieved from the barcode. The
merchant information may include merchant payment information. Upon
obtaining product information and merchant information, the
processor may initiate a payment transaction based on the merchant
information. During the payment transaction, an amount of money
corresponding to a price of the product may be transferred from a
user payment account to a merchant payment account. The price of
the product may be included into the product information. The
payment transaction may be performed by sending payment data by a
NFC unit of the WPD device to a merchant using a NFC.
[0056] In an example embodiment, the NFC may be used for payments
for purchases made online and offline. A user of the WPD device 200
equipped with the NFC unit may perform transactions without
authentication, or some authentication may be needed, such as a
Personal Identification Number (PIN), before transaction is
completed. The payment can be deducted from a pre-paid account of
the user or charged directly to a bank account of the user. In
example embodiment, the NFC unit may enable the WPD device 200 to
establish radio communication with external devices by touching the
WPD device 200 and the external device together or bringing them
into proximity.
[0057] In an example embodiment, the camera 212 may be further
operable to track a face, fingers, gestures, and other biometric
personal data of the user. In turn, the processor may be operable
to analyze the face, the fingers, the gestures, and the other
biometric personal data tracked by the camera. Additionally, the
processor may recognize speech and subtract a background noise from
the speech.
[0058] The camera 212 may be further operable to perform an optical
character recognition of a data. The data may include one or more
of the following: a typewritten text, a printed text, an image, and
the like. The data may be scanned from a document, such as a
passport, an invoice, a bank statement, a computerized receipt, a
business card, a mail, a printout of static-data, a book, a print
publication, and so forth.
[0059] In a further example embodiment, the WPD device 200 may be
adapted to display a unique code to be scanned by a Point-of-Sale
(POS) system. FIG. 3 shows a schematic representation 300 of
scanning a barcode 305 displayed on the WPD device 200 by a barcode
scanner 310 of the POS system 315. The barcode 305 may encode user
payment information, such as a bank account, a payment card number,
and so forth. The barcode 305 may be generated by a payment system
(not shown) associated with the WPD device 200 or the external
device. Therefore, the user may use the barcode 305 instead of a
debit card or a credit card.
[0060] Referring back to FIG. 2, the front view 210 of the WPD
device 200 shows an example embodiment, according to which the WPD
device 200 includes a swipe card reader 214 communicatively coupled
to the processor. The swipe card reader 214 may be located on
either side of the WPD device 200, vertically or horizontally. The
swipe card reader 214 may be operable to read data of a payment
card. Upon reading, the data may be transmitted to the processor of
the WPD device 200 or to the external device. The swipe card reader
214 may be used, for example, during performing payments on-line.
Furthermore, the swipe card reader 214 may be used for providing
user payment information, which may be further encoded into a
barcode 216. The barcode 216 may be displayed on the display 204,
e.g., in a store, for performing the payment transaction.
[0061] The biometric parameters sensed by the biometric sensors may
be stored to the memory unit of the WPD device 200. According to
another embodiment, the biometric parameters sensed by the
biometric sensors may be transmitted to the external device for
further processing or displaying on the external device. The
processor may be operable to provide data associated with biometric
parameters to be displayed on the display 204. The biometric
parameters may include one or more of the following: a blood
pressure, a heart rate, a glucose level, a body temperature, an
environment temperature, arterial properties of the user, and the
like. The biometric sensors may be disposed within the band. Based
on detection that the one or more of the biometric parameters of
the user exceed predetermined limits, the biometric sensors may be
configured to produce the alarm. In an example embodiment, the
biometric sensors include lenses operable to use infrared
light-emitting diodes (LED) and visible-light LEDs to sense a heart
rate of the user. In a further example embodiment, the biometric
sensors may be operable to non-invasively monitor a glucose level.
The glucose level may be monitored using a saliva testing. Wearable
device may be integrated with one or more thin film silicon
photonic biosensor that uses beams of light to detect tiny changes
in the composition of a saliva or urine sample on the screen of
wearable device or mobile device, which essentially looks at the
level of binding between a DNA probe and target microRNA to figure
out the level of microRNA in the sample. This can then provide
clues to the presence of some types of cancer, cardiac disease, and
other serious health issues via artificial intelligence (AI) big
data analysis.
[0062] The biometric sensors may further include a skin contact
sensor data engine. The skin contact sensor data engine may be
operable to monitor a user electrocardiogram or the heart rate. The
user electrocardiogram and the heart rate may serve as
identification and personal data of the user. The skin contact
sensor data engine may be further operable to prompt the user to
enter a PIN after placing the WPD device 200 on the wrist. The skin
contact sensor data engine may associate the PIN with the user
electrocardiogram and the heart rate. Therefore, in case of placing
the WPD device 200 on a wrist of another user, another user may be
not authorized to user the WPD device 200 because a user
electrocardiogram and a heart rate of another user may differ from
those of the user of the WPD device 200.
[0063] A thermal infrared (IR) measurement of sensor may be used to
investigate the potential of cancer detection. An adhesive sensor
system worn on the skin that may automatically detect human falls
and fatal diseases, the sensor, which may consist of a tri-axial
accelerometer, a microcontroller and a Bluetooth Low Energy
transceiver, can be worn anywhere on a human body to detect a
specific biological analyte by essentially converting a biological
entity into an electrical signal that can be detected and analyzed
by using of biosensor in cancer and other fatal diseases detection
and monitoring.
[0064] The haptic touch control actuator may be operable to produce
a haptic feedback in response to one or more events. The one or
more events may include receiving of the alert, receiving of a
notification, a confirmation, movement of the WPD device 200,
receiving of the user input, sensing of the one or more biometric
parameters, and so forth. The haptic feedback may be sensed by the
user body, such as a wrist of the user. The haptic feedback may
have a plurality of feedback types. More specifically, each of the
one or more events may be associated with one of the plurality of
feedback types.
[0065] In a further example embodiment, the display 204 may be
further operable to display data associated with the activity of
the user. The activity of the user may include calories burned,
sleep quality, breaths per minute, snoring breaks, steps walked,
distance walked and the like. The activity of the user may be
tracked by the activity tracking sensors of the WPD device 200. The
activity tracking sensors may be operable to monitor user movements
in a three-dimensional trajectory, identify type of user activity,
identify a specific motion fingerprint of an exercise, evaluate
user physical form, count repetitions, calculate calories burned,
and so forth. In certain example embodiments, the activity tracking
sensors may sense and track position of the user to identify the
snoring of the user and provide a notification to the user, e.g.
using the vibration, to force the user to change the position. In
an example embodiment, the activity tracking sensors are operable
to track snoring of the user and, based on tracking of the snoring,
produce an alarm to the user to break snoring.
[0066] In an example embodiment, the WPD device 200 may further
include a microphone (not shown). The microphone may be operable to
sense voice data. The voice data may be obtained from the user. For
example, the user may provide a user request using user voice. The
voice data may include a voice command, a voice memo, a voice
message, and the like. The voice data may be transmitted to the
processor for further processing. In particular, the processor may
be operable to recognize the voice data in order to obtain the user
request. The user request may be transmitted to the external
device.
[0067] In an example embodiment, the input unit 206 may include a
clock crown located on any of lateral sides of the housing, an
upper side of the housing, or a bottom side of the housing. The
processor may be operable to sense the rotational motion of the
input unit 206. For example, the user may rotate the input unit
206. Based on the sensing, the data displayed on the display 204
may be scrolled. Each action performed by the user on the input
unit 206, such as direction of rotation (e.g., clockwise or counter
clockwise), speed of rotation, pressing the input unit 206 towards
the housing 202, or extending the input unit 206 outwards the
housing 202, may correspond to a specific command.
[0068] In a further example embodiment, the processor of the WPD
device 200 may be operable to control an operation of a camera of
the external device. Furthermore, the processor may access audio
files stored on the external device and wirelessly connect with
earphones. Upon accessing the external device and connecting with
the earphones, the processor may reproduce the audio files using
the earphones. Therefore, the user of the WPD device 200 may listen
to the music stored on the external device and control reproducing
of the audio files using the WPD device 200.
[0069] In an example embodiment, the processor may be further
operable to generate a code encoding user payment data and user
personal data. The generation may be performed based on the user
payment data and the user personal data stored in the memory unit
of the WPD device 200. The processor may be further operable to
prompt the user to touch the display to scan user fingerprints.
Additionally, the processor may be further operable to determine a
heart rate of the user using the biometric sensors. The processor
may be further operable to compare the user fingerprints and the
heart rate of the user with reference fingerprints and a reference
heart rate. The reference fingerprints and the reference heart rate
may be stored in the memory unit. The processor may detect a match
of the user fingerprints with the reference fingerprints and of the
heart rate of the user with the reference heart rate. Base of the
detecting, the processor may provide the code to a merchant digital
device for performing a payment transaction. Upon the payment
transaction, a payment confirmation may be provided to the user.
The payment confirmation may be provided using the haptic
feedback.
[0070] In an example embodiment, the processor may be further
operable to detect current user location, e.g. using a GPS unit.
The processor may be operable to detect presence of premises
associated with the user in proximity to the current user location.
The premises may include a home, an office, a garage, a car, and
the like. Based on the detecting, the processor may be operable to
initiate unlocking of the premises.
[0071] In a further example embodiment, the processor of the WPD
device 200 may be operable to detect presence of another WPD device
in proximity to the WPD device 200. Based on the detecting, the
processor may be operable to initiate data transmission between the
WPD device 200 and another WPD device.
[0072] In an example embodiment, the processor may be further
operable to receive, from the user, a content access request for at
least one content item of content data stored in the memory unit of
the WPD device 200. The processor may read access rules stored in
the memory unit. The access rules may be associated with use of the
at least one content item. Based on the access rules, the processor
may be operable to determine that an access to the at least one
content item is permitted. Based on the determining, the at least
one content item may be reproduced to the user.
[0073] The content data may include audio data, video data, text,
software, and game data. The WPD device 200 may act as a data
carrier and include an interface for sending and receiving data.
The memory unit may be operable to store received content data,
provide payment validation data to the external device, store a
record of access made to the stored content data, and the access
rules for controlling access to the stored content data. The
processor may be further operable to access control data and
supplementary data including hot links to websites and advertising
data. Payment data, the stored content data and access rules data
may be used to reduce a risk of an unauthorized access to the
content data.
[0074] The WPD device 200 may further include a battery (not shown)
disposed in the housing. Additionally, the WPD device 200 may
include a magnetic inductive charging unit (not shown). The
magnetic inductive charging unit may be operable to magnetically
connect to the housing and wirelessly connect to the battery. The
magnetic inductive charging unit may be operable to wirelessly
transfer energy to the battery. In some example embodiments, the
magnetic inductive charging unit may be integrated into the
housing. Once connected magnetically to the back of the WPD device
200, the connection of magnetic inductive charging unit may be
seamless and need no additional alignment by the user.
[0075] The WPD device 200 may further include a light indicator
operable to show a light indication in response to receiving data
from an external device. Upon a predetermined movement of the user
body, such as raising a hand, the light indication may stop showing
the light indication and initiate the display to display the data
received from an external device.
[0076] In example embodiments, the housing may have round, square,
rectangular and other shape. Therefore, when the WPD device 200 is
paired with the external device, a plurality of applications
running on the external device may be visualized on the display of
the WPD device 200 using a form factor specific to the form and
size of the housing.
[0077] FIG. 4 shows diagrams 400 and 405 that represent user
interaction with the display 204 of the WPD device 200. The user
may provide the user input by pressing the display 204 for a
predetermined time. The processor may estimate time of the user
input. The time of user input may correspond to a specific command.
The memory unit may store a table representing relationship between
duration of pressing and a plurality of commands. For example, as
shown on the diagram 400, the user may press the display 204 for 1
second. The time of 1 second may correspond to a message mode.
Therefore, based on the time of 1 second, the processor may select
a command from the table, such as initiation of the message mode.
The processor may further perform the selected command, namely,
initiate the message mode. During the time when the user presses
the display 204, a timer 402 may be displayed on the display 204.
The timer 402 may show the time the user presses the display 204.
Additionally, an icon 404 may be displayed. The icon 404 may
represent a command corresponding to the time currently shown on
the timer 402. For example, the icon 404 may represent the message
mode.
[0078] In another example embodiment, as shown on the diagram 405,
the user may press the display 204 for 5 seconds. The time of 5
seconds may correspond to a payment mode. Therefore, based on the
time of 5 second, the processor may select a command from the
table, such as initiation of the payment mode. The timer 402 may
show the time the user presses the display 204, namely 5 seconds.
Additionally, an icon 406 representing the payment mode may be
displayed.
[0079] Referring back to FIG. 2, the WPD device 200 may further
include a vibration unit (not shown) in communication with the
processor. The vibration unit may be activated in response to
receiving the data from the external device to notify the user
about receipt of the data. For example, upon receipt of the message
by the remote device, the vibration unit of the WPD device 200 may
be activated.
[0080] In an example embodiment, the band 208 of the WPD device 200
may be detachable. The detached view 220 shows the band 208
detached from the housing 202 of the WPD device 200.
[0081] The WPD device 200 may further include a GPS unit (not
shown) configured to track geographical location of the device.
Such information may be applied for spatial and positional
awareness tracking, monitoring position of a child, a senior, or a
patient. In some embodiments, the WPD device 200 may connect to one
or more external devices (for example, other WPD devices),
synchronize with the one or more external devices in real time,
tracks a geographical location of the one or more external devices
in real time, and provide communication capabilities using an
embedded emergency button configured to give a medical alert
signal, a request for help signal, or another informational signal.
Thus, users may track geographical location of each other.
[0082] In some embodiments, access to the WPD device 200 may be
protected by a password, a Personal Identification Number code,
biometric authorization, and so forth. Biometric authorization may
be performed using one or more biometric sensors and may include
fingerprint scanning, palm scanning, face scanning, retina
scanning, heart rate sensing, and so forth. In some embodiments,
fingerprint scanning may be performed using a fingerprint reader
integrated in the WPD device 200 or detachably connected to the WPD
device. The scanned fingerprint may be matched to one or more
approved fingerprints stored in the memory unit of the WPD device
200. The access to the device may be granted if the scanned
fingerprint matches one of the stored fingerprints, otherwise
access may be denied.
[0083] The payment transaction may be associated with a NFC and be
performed for purchases online and offline. A payment associated
with the payment transaction may be transferred from a pre-paid
account of the user or charged to a mobile account of the user or a
bank account of the user. The payment may include at least a
one-touch and one-scan payment for street parking in demarcated
areas. The payment may be performed using a license plate,
transponder tags, barcode stickers, and reading the code from the
display. A merchant may use a combination of the NFC and the code
on the display for performing the one-touch and one-scan payment.
The NFC may be used to establish radio communication with the
external device by touching the housing of the WPD device 200 and
the external device or bringing the housing of the WPD device 200
and the external device into proximity, such a distance of up to 10
centimeters. The processor may be operable to operate in three
modes, such as an NFC target mode when the WPD device 200 is acting
as a credential, a NFC initiator mode when the WPD device 200 is
acting as a reader, and an NFC peer-to-peer mode. The payment may
be further associated with advertisement tags, two-dimensional
barcodes, and ultra-high frequency tags. The processor may be
operable to be connected to a cloud. User credentials may be
provisioned over the air. The payment may be associated with a
payment application associated with the processor to control
transferring of the payment and access payment readers. The NFC
unit may be operable to connect to a third-party NFC device with a
server for data.
[0084] The processor may be associated with an operating system
operable to pair with third-party applications running on the
external device. The processor may integrate a third-party
developer technology and the third-party applications and
notifications into a form factor. The processor may be operable to
download applications. The WPD device 200 may act as or be
associated with smart textiles, an activity tracker, a smartwatch,
smartglasses, a GPS watch, mixed reality, computer-mediated
reality, clothing technology, Smart closing, healthcare, augmenter
reality, and smart and connected devices.
[0085] The WPD device 200 may be adapted to enable a Bluetooth low
energy payment. The WPD device 200 may be further associated with
one or more of a transactional payment based on Unstructured
Supplementary Service Data, Short Message Service, direct operator
billing, a credit card mobile payment, an online wallet, a QR code
payment, contactless NFC, a cloud-based mobile payment, an audio
signal-based payment, a Bluetooth Low Energy signal beacon payment,
an in-application payment, a Software Development Kit payment, an
Application Programming Interface payment, a social networking
payment, and a direct carrier and bank co-operation.
[0086] FIG. 5 is a flow chart illustrating a method 500 for
facilitating user interaction with a WPD device, in accordance with
certain embodiments. The method 500 may start with receiving data
from an external device at operation 502. Based on the data, a
notification may be provided to a user at operation 504. In an
example embodiment, providing of the notification includes one or
more of the following: providing a vibration, providing a sound,
and providing a light indication. At operation 506, a user input
may be received. In an example embodiment, the user input may be
received using a display, an input unit of the WPD device, or a
natural language user interface. At operation 508, a command may be
performed. In an example embodiment, the command selected based on
the user input may be performed. At operation 510, the WPD device
may be connected, using a communication circuit communicatively
coupled to the processor of the WPD device, to a wireless network
to communicate with the external device.
[0087] At operation 512, the natural language user interface may be
provided to communicate with the user. The natural language user
interface may be operable to sense a user voice and provide a
response in a natural language to the user. The WPD device may be
secured on a user body at operation 514 using a band attached to a
housing of the WPD device.
[0088] In an example embodiment, the method 500 may further include
capturing, by a camera communicatively coupled to the processor, a
code. The code may include a linear dimensional code, a
two-dimensional code, a snap tag code, or a QR code. The method 500
may further include reading the code to obtain product information
and merchant information encoded in the code. Based on the merchant
information, a payment transaction may be initiated.
[0089] Additionally, the method 500 may include activating the
display based on one or more of the following: a movement of a user
hand, a movement of the user body, a gesture performed by the user
in proximity to the display, user voice, and the like. In an
example embodiment, the method 500 further includes storing the
biometric parameters sensed by the one or more biometric sensors to
the memory unit of the WPD device. Alternatively, the biometric
parameters sensed by the one or more biometric sensors may be
transmitted to the external device.
[0090] Additionally, the method 500 may include sensing, by a
microphone, voice data. The voice data may be obtained from the
user and may include a voice command, a voice memo, or a voice
message. The voice data may be transmitted to the processor of the
WPD device for further processing. Additionally, the voice data may
be recognized to obtain a user request. The user request may be
transmitted to the external device.
[0091] In an example embodiment, the method 500 may further include
estimating time of the user input. The user input may include
pressing the display by the user. Based on the time, a command may
be selected from a table representing relationship between the time
of pressing and a plurality of commands. The selected command may
be further performed by the processor.
[0092] Additionally, the method 500 may include displaying, by the
display, data associated with the activity of the user. The
activity of the user may include calories burned, sleep quality,
breaths per minute, snoring breaks, steps walked, and distance
walked. Tumor DNA to be used as a marker for screening, early
detection, and monitoring, traces of RNA from cancer cells can be
found in a drop of saliva, the RNA is a molecule that plays a key
role in the transcription of DNA, the mobile and wearable device
screen process by which the genetic material is read in order to
detect the proteins by detecting genetic mutations in a protein
from epidermal factor receptor, by examining RNA in samples on
mobile and wearable screens, and it is therefore possible to tell
what sorts of processes are going on inside a cell by seeking out
fragments of tumor RNA in saliva, including those associated with
cancer. Furthermore, wearable device may be integrated with one or
more thin film silicon photonic biosensor that uses beams of light
to detect tiny changes in the composition of a saliva or urine
sample on the screen of wearable device or mobile device, and which
essentially looks at the level of binding between a DNA probe and
target microRNA to figure out the level of microRNA in the sample,
and this may provide clues to the presence of some types of cancer,
cardiac disease, and other serious health issues via artificial
intelligence (AI) big data analysis. Biosensors designed to detect
a specific biological analyte by essentially converting a
biological entity (i.e., protein, DNA, RNA) into an electrical
signal that can be detected and analyzed by using of biosensors in
cancer detection and monitoring. The biosensors can be designed to
detect emerging cancer biomarkers and to determine drug
effectiveness at various target sites. The biosensor may have the
potential to provide fast and accurate detection, reliable imaging
of cancer cells, and monitoring of angiogenesis and cancer
metastasis, and the ability to determine the effectiveness of
anticancer chemotherapy agents. The method 500 may further include
providing data associated with the one or more biometric parameters
to be displayed on the display. The one or more biometric
parameters may include one or more of the following: a blood
pressure, a heart rate, a glucose level, a body temperature, an
environment temperature, and arterial properties.
[0093] The wearer may monitor CAR-T cell therapy by separating the
peripheral blood of the bearer patient immune T cells in vitro
sterile culture, and then genetically engineered and modified, it
is based on the type of tumor specificity of patients suffering
from genetic modification and in vitro expansion, and finally the
wearer patient reinfusion body, achieve the purpose of killing
tumor cells. The wearer may further monitor CAR-T cell preparation,
insert CAR molecular DNA be integrated into human chromosome 19 on
the first intron AAVSI site, the donor DNA sequence provided in the
CAR molecule containing a sequence upstream of the receptor
sequences and AAVSI cut left arm sequence homology, CAR downstream
molecule containing poly-A sequence and AAVSI the right arm
sequence homology. The wearer furthermore monitor gene edited T
cells applications to use the antibody molecules of various types
of tumor surface antigens into the application of human T cell
genome AAVSI sites. To avoid potential off-target effects, a mutant
enzyme of Ni ckase Cas9 may be used to only cut off a strand of
DNA, the single-stranded gap will promote homologous recombination,
therefore, to insert CAR molecules precisely integrated into human
T cell genome specific "safe harbor" sites, which may not affect
the function of any normal human gene, avoiding the use of viral
vectors security risks and exogenous gene transit may insert a
series of fatal risk of genetic toxicity and immunogenicity of the
genome, and may integrate various types of tumor surface antigen
receptor to human T cell genome AAVSI site express specific
receptors for all types of tumor-specific T cells recognize and
kill tumor cells. The wearer may monitor a chimeric antigen
receptor (CAR) T cells and a preparation method can allograft,
aimed at resolving existing T cell separation difficulties from
patient own self, who cannot effectively kill tumor cells and mixed
with the issue of tumor cells. Another kind T cells can allograft
chimeric T cell antigen receptor, said chimeric T cell antigen
receptors including T cell receptors and a chimeric antigen. The T
cell is a genetically engineered allogeneic transplantation can T
cells. The allograft may be chimeric T cell antigen receptor, and
the T cells through gene knockout in a specific point of
genetically modified T cells. The allograft may be chimeric T cell
antigen receptor, and said specific gene of TCR gene, including the
TCR [alpha] chain and a .beta. chain, said genetically modified
specifically: .alpha. in the TCR and corresponding foreign gene
encoding .beta.-chain of one or two chain constant region exon by
gene knockout point, the TCR of T cells is not active, and thus T
cells can be allogeneic. The allograft may be chimeric T cell
antigen receptor, and said chimeric antigen receptor by a scFv
antigen binding sequence, a transmembrane sequence, and
intracellular signal transduction sequence. The allograft may be
chimeric T cell antigen receptor, and said scFv antigen binding
sequence comprises a light chain variable region sequence and a
heavy chain variable region sequence. The allograft may be chimeric
T cell antigen receptor, and the transmembrane sequence is CD8. The
intracellular signal transduction sequence may comprise the CD28
extracellular domain sequence, the sequence and the intracellular
domain of 4-1BB intracellular CD3G domain sequences. A species, may
allograft chimeric antigen receptor T cells, which comprises of the
TCR .alpha. and .beta. chains of one or both chains constant
outside the corresponding region of the gene coding exon, the T
cells TCR is not active, and then be able to obtain allogeneic T
cells, and furthermore carrying the chimeric receptor antigen
lentivirus infection can be obtained by the above-described
allogeneic T cells can be obtained after completion of infection
allogeneic chimeric T cell antigen receptor. The wearer may monitor
T cells genetically engineered, in turn, can make this T cell
allografts without causing immune rejection. Then this will not
produce allograft immune rejection T cell binding third-generation
CAR can prepare an allograft universal chimeric antigen receptor T
cells to tumor therapy.
[0094] In an example embodiment, the method 500 may further include
sensing a rotational motion of the input unit. The input unit may
be rotated by the user. Based on the sensing, the data displayed on
the display may be scrolled. Additionally, the method 500 may
include activating a vibration unit in response to receiving the
data from the external device to notify the user about receipt of
the data.
[0095] FIG. 6 shows schematic representations of WPD devices 600
and 650, according to example embodiments. The WPD device 600 may
include a housing 202 that may enclose the elements of the WPD
device 600 as described above with reference to FIG. 2. The WPD
device 600 may include a projector 610. The projector 610 may
project a data onto a viewing surface 620 to form a display area
630. The display area 630 may serve as a further display of the WPD
device 600. The viewing surface 620 may include a hand of the user.
The data shown on the display area 630 may include any data
requested by the user or any incoming notifications or alerts,
including a virtual keyboard, a notification of the external
device, time, data requested by the user, a caller name, a text
message, a reminder, a social media alert, an email, a weather
alert, and the like. FIG. 6 shows a virtual keyboard 640 displayed
on the hand of the user.
[0096] The WPD device 650 may include a housing 202 that may
enclose the elements of the WPD device 600 as described above with
reference to FIG. 2. The WPD device 650 may include a projector
660. The projector 660 may project a data onto a viewing surface
670 to form a display area 680. The display area 680 may serve as a
further display of the WPD device 650. The data shown on the
display area 680 may include a message 690.
[0097] As shown on FIG. 6, the projector may be disposed on any
side of the housing 202. More specifically, the display area 630
may be provided to the right from the wrist of the user (as in the
WPD device 600) or the display area 680 may be provided to the left
from the wrist of the user (as in the WPD device 650).
[0098] FIG. 7 shows a man running and wearing various wearables
with a sensor, e.g. smart glasses, smartwatch, etc. The sensor
consists of a tri-axial accelerometer, a microcontroller and a
Bluetooth Low Energy transceiver. Cancer may be detected using
Temperature Variation and Radiation Analysis (TVRA) via wearable
device, which has grown tangibly due to many factors, such as at
least life expectancies increase, personal habits and ultraviolet
radiation exposures. The smartwatch can display various medical
parameters received from the wearables and also display differences
between normal and cancerous cell structure.
[0099] FIG. 7 further shows the WPD device 750, which may be
configured to be rolled around a wrist of the user. The WPD device
750 may include a processor 755, a projector 760, activity tracking
sensors 765, a communication circuit including a Bluetooth module
770 or a Wi-Fi module 775, a haptic touch control actuator 780, a
memory unit 785, an indicator 790, such as a LED, and a charging
unit 795.
[0100] FIG. 8 shows a mobile device 850 and smartwatch 800, which
are wire connected to a thin film silicon photonic biosensor 840.
The biosensor 840 may use beams of light to detect tiny changes in
the composition of a saliva or urine sample on a thin film 830. The
film 830 when pressed against the skin may create changes in
electrical current and light (ECL) that can be captured by a
high-quality digital camera of a wearable device. Normal and
cancerous cell structures are displayed on a screen of the mobile
device 850 and smartwatch 800.
[0101] FIG. 9 shows an AI wearable and mobile personal digital
device 1400 for facilitating mobile device payments, personal
saliva testing, personal use, and health care being a POH saliva
testing device for POH saliva testing. The AI wearable and mobile
personal digital device 1400 may include a processor (not shown).
The processor may be operable to receive data from an external
device associated with POH saliva testing. Based on the data, the
processor may provide a notification to a user. The processor may
be further configured to receive a user input and perform a
command, which may be selected based on the user input. The
processor may be further operable to provide a natural language
user interface to communicate with the user. The natural language
user interface may be operable to sense a user voice and provide a
response in a natural language to the user. The AI wearable and
mobile personal digital device 1400 may include a near field
communication (NFC) unit communicatively coupled to the processor
and a display 1410 communicatively coupled to the processor. The
display 1410 may include a touchscreen. The display 1410 may
further include a force sensor operable to sense a touch force
applied by the user to the display 1410 and calculate coordinates
of a touch by the user, and further operable to analyze the touch
force and, based on the touch force, select a tap command or a
press command based on a predetermined criteria.
[0102] The AI wearable and mobile personal digital device 1400 may
include a projector (such as the projector 660 as shown on FIG. 6)
communicatively coupled to the processor. The projector may be
operable to project a data onto a viewing surface external to the
AI wearable and mobile personal digital device 1400. The data may
include a virtual keyboard operable to input commands to the
processor and one or more of the following: the notification of the
external device, time, and data requested by the user, a caller
name, a text message, a reminder, a social media alert, an email, a
weather alert, and so forth.
[0103] The AI wearable and mobile personal digital device 1400 may
include a timepiece unit communicatively coupled to the processor
and configured to provide time data. The AI wearable and mobile
personal digital device 1400 may further include one or more
activity tracking sensors communicatively coupled to the processor
to track activity of the user. The one or more activity tracking
sensors may be operable to track snoring and, based on tracking of
the snoring, produce an alarm to break snoring. The AI wearable and
mobile personal digital device 1400 may further include a memory
unit communicatively coupled to the processor, and a communication
circuit communicatively coupled to the processor and operable to
connect to a wireless network and communicate with the external
device. The AI wearable and mobile personal digital device 1400 may
include a housing 1420 adapted to enclose at least the processor,
the display 1410, the one or more activity tracking sensors, the
memory unit, and the communication circuit.
[0104] The AI wearable and mobile personal digital device 1400 may
further include an input unit communicatively coupled to the
processor. The input unit may extend from the housing and may be
configured to perform one or more of a rotational motion and a
linear motion. The one or more motions may be operable to input
commands to the processor.
[0105] The AI wearable and mobile personal digital device 1400 may
further include a band adapted to attach to the housing 1420 and to
secure the AI wearable and mobile personal digital device 1400 on a
user body. More specifically, the AI wearable and mobile personal
digital device may include a wristwatch.
[0106] The AI wearable and mobile personal digital device 1400 may
further include one or more biometric sensors disposed within the
band and operable to sense one or more biometric parameters of the
user. Based on detection that the one or more of the biometric
parameters exceed predetermined limits, the one or more biometric
sensors may be configured to produce the alarm. The one or more
biometric sensors may include lenses operable to use infrared LEDs
and visible-light LEDs to sense a heart rate of the user. The one
or more biometric sensors may include a skin contact sensor data
engine. The skin contact sensor data engine may be operable to
monitor an electrocardiogram of the user and the heart rate of the
user. The electrocardiogram and the heart rate may be
identification and personal data of the user. The skin contact
sensor data engine may be operable to prompt the user to enter a
personal identification number and associate the personal
identification number with both the electrocardiogram and the heart
rate obtained after the AI wearable and mobile personal device 1400
has been secured to a wrist of the user. The electrocardiogram and
the heart rate may be stored in the memory unit as a reference
electrocardiogram and a reference heart rate.
[0107] Additionally, a thermal infrared (IR) measurement of the one
or more biometric sensors may be used to investigate a potential of
cancer detection. The one or more biometric sensors may include an
adhesive sensor system worn on the skin that automatically detects
human falls and fatal diseases, a sensor consisting of a tri-axial
accelerometer, a microcontroller, and a Bluetooth Low Energy
transceiver and worn on the user body to detect a biological
analyte by converting a biological entity into an electrical signal
to be detected and analyzed by using a biosensor in cancer and
fatal diseases detection and monitoring.
[0108] The AI wearable and mobile personal digital device 1400 may
further include a haptic touch control actuator operable to produce
a haptic feedback in response to one or more events. The one or
more events may include receiving of the alert, receiving of a
notification, a confirmation, movement of the AI wearable and
mobile personal digital device, receiving of the user input, and
sensing of the one or more biometric parameters. The haptic
feedback may be sensed by the user body. The haptic feedback may
include a plurality of feedback types. Each of the one or more
events may be associated with one of the plurality of feedback
types. The user input may be received using one or more of the
display, the input unit, and the natural language user
interface.
[0109] The AI wearable and mobile personal digital device 1400 may
further include a battery disposed in the housing 1420 and a
magnetic inductive charging unit operable to magnetically connect
to the housing 1420 and wirelessly connect to the battery. The
magnetic inductive charging unit may be operable to wirelessly
transfer energy to the battery. The magnetic inductive charging
unit may be integrated into the housing 1420.
[0110] The AI wearable and mobile personal digital device 1400 may
further include a camera 1430 communicatively coupled to the
processor and operable to capture a code. The code may include one
or more of the following: a linear dimensional barcode, a
two-dimensional barcode, a snap tag code, and a Quick Response (QR)
code. The processor may be further operable to read the code to
obtain one or more of a product information and a merchant
information encoded in the code and, based on the merchant
information, initiate a payment transaction. The payment
transaction may be performed by sending payment data by the NFC
unit to a merchant using the NFC.
[0111] The AI wearable and mobile personal digital device 1400 may
further include a swipe card reader communicatively coupled to the
processor and operable to read data of a payment card swiped
through the swipe card reader. The data may be transmitted to the
processor or the external device.
[0112] The processor may be further operable to generate, based on
user payment data and user personal data, a unique code encoding
the user payment data and the user personal data. The user payment
data and the user personal data may be stored in the memory unit.
The processor may be further operable to prompt the user to touch
the display to scan user fingerprints, determine the heart rate and
the electrocardiogram of the user to obtain determined heart rate
and determined electrocardiogram, and compare the scanned user
fingerprints, the heart rate and the user electrocardiogram with
reference fingerprints stored in the memory unit, the reference
heart rate, and the reference electrocardiogram. The processor may
be further operable to detect matches of the scanned user
fingerprints with the reference fingerprints, the determined heart
rate with the reference heart rate, and the determined
electrocardiogram with the reference electrocardiogram. After the
detecting of the matches, the processor may provide the unique code
via the display to a merchant digital device associated with one or
more of a healthcare center, a hospital, an emergency center, and a
saliva research center for performing the payment transaction. Upon
performing the payment transaction, the processor may provide a
payment confirmation to the user.
[0113] FIGS. 10 and 11 show a point of healthcare (POH) saliva
testing device 1000 for POH saliva testing being a component of an
artificial intelligence (AI) wearable and mobile personal digital
device for facilitating mobile device payments, personal saliva
testing, personal use, and health care, according to an example
embodiment. The POH saliva testing device 1000 may be used together
with the AI wearable and mobile personal digital device for
facilitating mobile device payments, personal saliva testing,
personal use, and health care, as shown on FIG. 9. The POH saliva
testing device 1000 may include a mounting clip 1005, a saliva
sample insert apparatus 1010, a pinhole 1015, a light-emitting
diode (LED) board 1020, a battery 1025, and a set of sensors
1030.
[0114] FIG. 12 shows a right side view 1200 of the POH saliva
testing device 1000, a left side view 1210 of the POH saliva
testing device 1000, a front view 1220 of the POH saliva testing
device 1000, and a rear view 1230 of the POH saliva testing device
1000, according to an example embodiment.
[0115] FIG. 13 shows a top view 1300 of the POH saliva testing
device 1000 and a bottom view 1310 of the POH saliva testing device
1000, according to an example embodiment.
[0116] FIG. 14 shows a general view of an AI wearable and mobile
personal digital device 1400 with a POH saliva testing device 1000
for POH saliva testing. The POH saliva testing device 1000 may be
attached using the mounting clip 1005 to the AI wearable and mobile
personal digital device 1400. In an example embodiment, the POH
saliva testing device 1000 may be attached to a portion of the AI
wearable and mobile personal digital device 1400 where the camera
of the AI wearable and mobile personal digital device 1400 is
disposed.
[0117] The processor AI wearable and mobile personal digital device
1400 may be further configured to transmit the user request to one
or more of the external device, the health care center, the
hospital, the emergency center, the saliva research center,
deoxyribonucleic acid (DNA) genetic testing and analysis
authorities, and the like authorities.
[0118] In an example embodiment, the POH saliva testing includes a
diagnostic technique that involves an analysis of a saliva of the
user to identify markers of one or more of endocrine, immunologic,
inflammatory, infectious, and health conditions. The POH saliva
testing may use a biological fluid for assaying steroid hormones
including cortisol, genetic material including ribonucleic acid
(RNA), proteins including enzymes and antibodies, and a plurality
of substances including natural metabolites, a saliva nitrite, a
biomarker for a nitric oxide status, a Cardiovascular Disease, a
Nitric Oxide, a salivary biomarker for cardio-protection. The POH
saliva testing may be used to screen for and diagnose a plurality
of health conditions and disease states including Cushing's
disease, anovulation, HIV, cancer, parasites, hypogonadism, and
allergies. The POH saliva testing may be further used to assess
circadian rhythm shifts in astronauts before flight and to evaluate
hormonal profiles of soldiers undergoing military survival
training. The POH saliva testing may be performed as a POH saliva
testing cite to provide collection, safety, non-invasiveness,
affordability, accuracy, and capacity to circumvent venipuncture as
compared to blood testing and a plurality of types of diagnostic
testing. Upon obtaining multiple saliva samples, the POH saliva
testing may be used to perform chronobiological assessments
spanning hours, days, or weeks. Collecting a whole saliva by
passive drool during the POH saliva testing facilitates increasing
a size of sample collection to allow the saliva samples to be
tested for a plurality of biomarkers, freezing a left over specimen
of a saliva sample of the saliva samples to be further used, to
eliminate contamination by eliminating extra saliva collection
devices and a need to induce a saliva flow. The POH saliva testing
may provide for detection of steroid hormones and antibodies in the
saliva sample, additional proteins, genetic material, and markers
of nutritional status.
[0119] In a further example embodiment, the POH saliva testing may
include testing saliva components using a glucose test or a
cholesterol test. The glucose test and the cholesterol test may be
grouped together into a POH saliva panel. The POH saliva testing
may be used in health care to determine physiological and
biochemical states including a disease, a mineral content,
pharmaceutical drug effectiveness, and organ function of the user,
and to detect drug abuse in drug tests. The POH saliva panel may
include a basic metabolic panel or a complete saliva count. The
basic saliva panel may measure sodium, potassium, chloride,
bicarbonate, blood urea nitrogen (BUN), magnesium, creatinine,
glucose, and calcium. The POH saliva testing may include tests on
cholesterol levels to determine a total cholesterol level, a
low-density lipoprotein (LDL) cholesterol level, a high-density
lipoprotein (HDL) cholesterol level, and a triglyceride level.
[0120] In a further example embodiment, the POH saliva testing may
be associated with salivary glands of a human including parotid
glands, submandibular glands, sublingual glands, and minor salivary
glands. The salivary glands and the minor salivary glands secrete a
mixture of salivary components including biological chemicals,
electrolytes, proteins, genetic material, and polysaccharides. The
mixture of salivary components enters an acinus and duct system of
the salivary gland from surrounding capillaries via an intervening
tissue fluid. A plurality of substances are produced within the
salivary glands. A level of each of the salivary components varies
depending on a health status of the user and a presence of a
disease. Measuring the salivary components in the saliva is used to
screen for infections, allergies, hormonal disturbances, and
neoplasms.
[0121] The POH saliva testing may include detecting conditions
including one or more of the following: a Cushing's disease; an
Addison's disease, altered female hormone states including
polycystic ovary syndrome, menopause, anovulation, and hormonal
alterations in cycling women; altered male hormone states including
hypogonadism, andropause, and hyperestrogenicstates; metabolic
disturbances including insulin resistance, diabetes, and metabolic
syndrome; benign and metastatic neoplasms including breast cancer,
pancreatic cancer, and oral cancer; infectious conditions including
HIV, viral hepatitis, amoebiasis, and helicobacter pylori
infection; allergic conditions including food allergy, and other
diseases and disorders.
[0122] The POH saliva testing may include a personal genome testing
to provide a health and carrier status for users having a genetic
disease. The POH saliva testing is used to test for a genetic
carrier disease including Bloom Syndrome; a recessive gene disorder
associated with height disorders and a predisposition to develop
cancer. The POH saliva testing may be used to test the user for one
or more diseases selected from the following: a Parkinson's
disease, a nervous system disorder impacting movement, a Late-onset
Alzheimer's disease, a progressive brain disorder destroying memory
and thinking skills, a Celiac disease, a disorder resulting in
inability to digest gluten, an Alpha-1 antitrypsin deficiency, a
disorder that raises a risk of lung and liver disease, early-onset
primary dystonia, a movement disorder involving involuntary muscle
contractions and uncontrolled movements, factor XI deficiency, a
blood-clotting disorder, Gaucher disease type 1, an organ and
tissue disorder, Glucose-6-Phosphate Dehydrogenase (G6PD)
deficiency, a red blood cell condition, hereditary hemochromatosis,
an iron overload disorder, hereditary thrombophilia, a blood-clot
disorder, and other diseases.
[0123] In a further example embodiment, the POH saliva testing is
used in clinical and experimental psychological settings to
investigate psychological phenomenon including anxiety, depression,
a posttraumatic stress disorder, and behavioral disorders. The POH
saliva testing may be used to test a cortisol level and an alpha
amylase level being indicative of a stress level. The cortisol
level may correlate with the stress level, and the cortisol level
rises slowly over time and takes time to return to a base level,
thereby indicating that cortisol is associated with a chronic
stress level. The alpha amylase level spikes when confronted with a
stressor and returns to base level after the stress, thereby making
measurement of the alpha amylase level to be a psychological
research studying acute stress responses. Saliva samples to test
the cortisol level and the alpha amylase level are collected from
users by having the users drool through a straw into a collection
tube while experiencing a stimulus. The saliva samples are taken at
a predetermined interval to record a gradual change in the cortisol
level and the alpha amylase level. The collecting of saliva samples
is non-invasive. The cortisol level corresponds to experiencing
physiological symptoms of nervousness by the users including a
heart rate, sweating, and skin conductance. The testing of the
alpha amylase level in the saliva samples provides examining
sympathoadrenal medullary (SAM) activity. The alpha amylase level
correlates with autonomic nervous system activity levels and reacts
to a hormone being norepinephrine.
[0124] The POH saliva testing may include human immunodeficiency
virus (HIV) testing to find a lentivirus being a subgroup of
retrovirus and causing a HIV infection and acquired
immunodeficiency syndrome (AIDS). AIDS is a condition in humans in
which progressive failure of the immune system leads to occurring
of life-threatening opportunistic infections and cancers. In
absence of treatment, average survival time after being infected
with HIV is about 9 to 11 years, depending on the HIV subtype.
Infecting with HIV may be performed by the transfer of blood,
pre-ejaculate, semen, vaginal fluid, or breast milk. Within these
bodily fluids, HIV is present as both free virus particles and
virus within infected immune cells. The HIV infects vital cells in
a human immune system including helper T cells including CD4.sup.+
T cells, macrophages, and dendritic cells. The HIV infection
results in lowering levels of the CD4.sup.+ T cells through a
plurality of mechanisms including pyroptosis of abortively infected
T cells, apoptosis of uninfected bystander cells, direct viral
killing of infected cells, and killing of infected CD4.sup.+ T
cells by CD8 cytotoxic lymphocytes that recognize infected
CD4.sup.+ T cells. When a decline of CD4.sup.+ T cell numbers
becomes below a critical level, cell-mediated immunity may be lost,
resulting in the body becoming progressively more susceptible to
opportunistic infections.
[0125] FIG. 15 shows schematic representations 1600 and 1650
representing a wearable and mobile personal digital device 1610 for
facilitating mobile device payments, personal saliva testing,
personal use, and health care, and being a POH saliva testing
device 1000 for POH saliva testing, in which the wearable and
mobile personal digital device 1610 is a smartwatch.
[0126] FIG. 16 shows a schematic representation 1700 representing a
wearable and mobile personal digital device 1410 for facilitating
mobile device payments, personal saliva testing, personal use, and
health care, and being a POH saliva testing device 1002 for POH
saliva testing, in which the wearable and mobile personal digital
device 1410 is a smartphone. In the example embodiment shown on
FIG. 16, the POH saliva testing device 1002 is the POH saliva
testing device as shown on FIG. 11 without a sample insert. More
specifically, the POH saliva testing device 1002 may be performed
without a saliva sample insert apparatus. The POH saliva testing
device 1002 may be used as a POH see-through screening
apparatus.
[0127] FIG. 16 further shows a schematic representation 1750
representing a wearable and mobile personal digital device 1610 for
facilitating mobile device payments, personal saliva testing,
personal use, and health care, and being a POH saliva testing
device 1002 for POH saliva testing, in which the wearable and
mobile personal digital device 1610 is a smartwatch. The schematic
representations 1700 and 1750 show that the POH saliva testing
device 1002 may be disposed on a hand 1710 of a user to perform
testing, such as screening and taking pictures of the skin of the
user.
[0128] In a further example embodiment, a wearable and mobile
personal digital device for facilitating mobile device payments,
personal saliva testing, personal use, and health care, and being a
POH saliva testing device for POH saliva testing may include a
mounting clip, a saliva sample insert apparatus configured to
receive a saliva sample, an urine sample, and a blood sample, a
pinhole, a LED board, a battery, a set of sensors, and a processor.
The processor may be operable to receive data from an external
device associated with the POH saliva testing. Based on the data,
the processor may provide a notification to a user and receive a
user input. The processor may further perform a command selected
based on the user input. The wearable and mobile personal digital
device may further include a smartphone-based POH apparatus using a
technology for making holograms to collect detailed microscopic
images from the saliva sample, the urine sample, the blood sample
for digital analysis of a molecular composition of cells and
tissues in the saliva sample, the urine sample, and the blood
sample. The wearable and mobile personal digital device may further
include a smartwatch-based POH apparatus using a technology for
making holograms to collect detailed microscopic images from the
saliva sample, the urine sample, and the blood sample for digital
analysis of a molecular composition of cells and tissues in the
saliva sample, the urine sample, and the blood sample. The wearable
and mobile personal digital device may further include a smart
glasses-based POH apparatus using a technology for making holograms
to collect detailed microscopic images from the saliva sample, the
urine sample, and the blood sample for digital analysis of a
molecular composition of cells and tissues in the saliva sample,
the urine sample, and the blood sample.
[0129] The wearable and mobile personal digital device may further
include a handheld POH device configured to transmit results of a
plurality of forms of electrochemical analysis directly to a remote
computer using a standard mobile phone. The handheld POH device may
be configured to be used to monitor diabetes, detect malaria, and
analyze drinking water for environmental pollutants. The a handheld
POH device may be configured to be used for saliva testing, urine
testing, and blood testing to detect drug usage. The saliva
testing, the urine testing, and the blood testing may be performed
without a need for collection facilities or same-sex observed
collections thereby providing performing the saliva testing, the
urine testing, and the blood testing immediately after accidents.
The POH saliva testing may include POH saliva mouth swab drug tests
to detect drugs in a user immediately after use and for one or more
days afterwards. The POH saliva testing may be used for
pre-employment drug testing, random drug testing, and post-accident
drug testing and is a part of a comprehensive drug testing program.
The POH saliva testing may be used to detect abuse of common
illicit drugs including marijuana, cocaine, heroin, illicit drugs,
and prescription drugs. The saliva testing, the urine testing, and
the blood testing may include testing for HIV to find lentivirus
being a subgroup of retrovirus that causes a HIV infection and
AIDS. The HIV infects vital cells in a human immune system
including helper T cells including CD4.sup.+ T cells, macrophages,
and dendritic cells. The HIV infection results in lowering levels
of the CD4.sup.+ T cells through a plurality of mechanisms
including pyroptosis of abortively infected T cells, apoptosis of
uninfected bystander cells, direct viral killing of infected cells,
and killing of infected CD4.sup.+ T cells by CD8 cytotoxic
lymphocytes that recognize infected CD4.sup.+ T cells.
[0130] In an example embodiment, the wearable and mobile personal
digital device may be further configured to implement artificial
intelligence financial and personal health data processing,
multimedia capture, payment transactions, and digital global POH
data processing for mobile and wearable devices. More specifically,
the processor may be further configured to receive a first input of
a user and, in response to the first input of the user, initiate
one or more sensors to capture multimedia to obtain captured
multimedia. The processor may receive a second input of the user.
The first input of the user may include a touch engagement of the
user with a display of a mobile and wearable device and the second
input of the user includes a touch release of the user from the
display of the mobile and wearable device. The processor may
analyze data associated with the first input of the user and the
second input of the user. The analyzing may include determining
time between the first input of the user and the second input of
the user. The processor may, based on the analysis, selectively
select a multimedia capture mode or a payment transaction mode. The
multimedia capture mode may include the user using the mobile and
wearable device to capture multimedia content. The selection of the
multimedia capture mode and the transaction mode is determined by
comparison of the time between the first input and the second input
with a predetermined time. Only a multimedia storing mode or a
transaction mode can be selected at a single time. The multimedia
capture mode may be associated with a plurality of types of
multimedia. Each of the plurality of types of multimedia being
captured may be determined by the time between the first input and
second input in the multimedia capture mode.
[0131] Based on the analysis, the processor may selectively select
one of multimedia storing modes or a payment transaction mode. Each
of the multimedia storing modes is associated with at least one of
a plurality of types of the multimedia. In response to the
selection of the multimedia capture storing modes, the processor
may process the captured multimedia to obtain a type of the
multimedia captured in the multimedia capture mode. The processor
may store the type of the multimedia captured and the captured
multimedia to a database to obtain a stored type of the multimedia.
In response to the selection of the payment transaction mode, the
processor may receive transaction data. The transaction data may
include at least a payment amount and a recipient. Based on the
transaction data, user payment data, and recipient payment data,
the processor may perform a payment transaction. The user payment
data and the recipient payment data may be stored in the
database.
[0132] The mobile and wearable device may include at least one of a
handheld computing device, a smartphone, a tablet computer, a
personal digital assistant, a e-textile item, an activity tracker,
a smartwatch, smartglasses, a Global Positioning System (GPS)
watch, a mixed reality device, a computer-mediated reality device,
a clothing technology device, and a wearable device, the wearable
device having a band adapted to secure the wearable device on a
human body, the human body including a wrist, an arm, a neck, a
head, a leg, a waist, an ear, a finger, and any other part of the
human body. The band may be adapted to secure the wearable device
under, within or on clothing. The band may include a rechargeable
battery configured to power the wearable device.
[0133] The processor may further be configured to use a global
world universal digital mobile and wearable currency. The processor
may receive a transfer request. The transfer request may be
authorized upon receiving authorization data from a sender having a
sender account from which funds are transferred from. The
authorization data may include a password, personal identification
number (PIN) code, and biometric data comprising a face of the
sender. Based on the receiving, the processor may authorize the
sender to provide the transfer request when the authorization data
providing for the transfer request matches previously registered
corresponding authorization data. The transfer may be associated
with an amount represented in tokens of the global world universal
digital mobile and wearable currency stored on the mobile and
wearable device of the sender. The transfer request may include at
least the sender account, a recipient account, and the amount.
Based on the transfer request, prior to transferring, the processor
may encrypt the currency by assigning a unique key to the
transferring and signing the global world universal digital mobile
and wearable currency using a cryptographic signature the amount
from the sender account to the recipient account. The tokens stored
on the mobile and wearable device of the sender are printed with a
face of the sender. Upon transfer from the mobile and wearable
device of the sender to a mobile and wearable device of the
recipient, the tokens are converted by replacing the senders face
with the recipient face. The currency is not a currency of any
national government but is operable to be exchanged by the mobile
device into a user defined national currency.
[0134] In an example embodiment, the POH saliva testing may include
POH molecular diagnostics to analyze biological markers in a genome
and proteome by applying molecular biology to medical testing. Body
fluids are used to diagnose and monitor diseases, detect a risk,
and decide therapies to work for patients. The POH saliva testing
of the body fluids includes analyzing specifics of the patients and
diseases, including infectious diseases, oncology, a human
leucocyte antigen, coagulation, and pharmacogenomics.
[0135] The POH saliva testing may include POH screening using a
group of sensors. The POH screening is used in a population to
identify a possible presence of an as-yet-undiagnosed disease in
the individuals without disease signs or symptoms. The individuals
may include a pre-symptomatic or unrecognized symptomatic disease.
The POH screening is used in screening interventions to identify
diseases in early stages and to enable early disease intervention
and management to reduce mortality and suffering from a disease.
The POH screening may include: a universal screening including
screening of a plurality of individuals in a specific category, a
case finding including screening a group of individuals based on a
presence of risk factors. The POH screening tests of the POH
screening include one or more of the following: a cancer screening
including a pap smear or liquid-based cytology to detect
potentially precancerous lesions and prevent cervical cancer,
Mammography to detect breast cancer, colonoscopy and fecal occult
blood test to detect colorectal cancer, dermatological check to
detect melanoma; a purified protein derivative test to screen for
exposure to tuberculosis; beck depression inventory to screen for
depression; Social Phobia and Anxiety Inventory Brief (SPAI-B), the
Liebowitz Social Anxiety Scale and social phobia inventory to
screen for social anxiety disorder; alpha-fetoprotein, blood tests
and ultrasound scans for pregnant women to detect fetal
abnormalities; bitewing radiographs to screen for interproximal
dental caries; ophthalmoscopy or digital photography and image
grading for diabetic retinopathy; ultrasound scan for abdominal
aortic aneurysm; screening of potential sperm bank donors;
screening for metabolic syndrome; and screening for potential
hearing loss in newborns.
[0136] In an example embodiment, the POH saliva testing device is a
slide-on attachment for the AI wearable and mobile personal digital
device of the user that has the camera with a polarized light and
magnification to take close-up and super clear images of skin
lesions. The slide-on attachment works in conjunction with a mobile
application to enable the user to take an image. The camera has a
polarised light that goes into the skin to show the skin lesions,
the camera has at least 20-fold magnification capacity. The mobile
application enables the user to mark the skin legion on a virtual
body and to send the virtual body with the skin legion to a health
professional for a feedback. Sending the virtual body includes
charging a fee.
[0137] In an example embodiment, the POH saliva testing device is
used by the user recovering from skin cancer who has to see the
health professional on a regular basis. The user having the POH
saliva testing device keeps track of skin lesions, monitors changes
in the skin lesions, and shares images of the skin lesions with the
health professional without having to come in for an appointment to
the health professional. In case the health professional has a
concern associated with the images, the user schedules a follow up
appointment with the health professional.
[0138] In an example embodiment, the POH saliva testing device is
an optical probe for a real-time diagnosis of epithelial-based
types of cancer to identify and classify precancerous and cancerous
skin lesions at an early. The identifying is performed in 80-95
seconds. The optical probe uses both imaging and non-imaging optics
to penetrate a cervix to reach a stroma and create a map indicating
an exact location and classification of a diseased skin lesion.
[0139] In an example embodiment, the POH saliva testing device is a
user-agnostic, highly correlated tool used to eliminate a need for
biopsies and create an optimized environment for cancer and
pre-cancer diagnoses.
[0140] In an example embodiment, the POH saliva testing device is
used to diagnose other HPV-related types of cancer that develop in
epithelium cells including oral cancer, laryngeal cancer, and colon
cancer.
[0141] In an example embodiment, the POH saliva testing device is a
Health Insurance Portability and Accountability Act-compliant skin
cancer screening platform for a mobile and cloud-based data
processing machine learning and artificial intelligence apparatus
that enables the health professional to identify and monitor
changes in skin of the user. The mobile and cloud-based data
processing machine learning and artificial intelligence apparatus
supports the Total Body Photography method that uses at least 18
poses that cover a body of the user using an SLR camera or a
smartphone.
[0142] In an example embodiment, the POH saliva testing device is
associated with an algorithm based on a concept of aerial photos to
allow the health professional to identify a mole, take measurements
associated with the mole, track parameter changes associated with
the mole, and compare the measurements over time.
[0143] In an example embodiment, the POH saliva testing device is
associated with early-stage breast cancer screening by placing the
POH saliva testing device against a breast of the user, obtaining a
3-dimensional image of a breast tissue in 6 seconds, and
identifying early-stage malignant growths on the 3-dimensional
image;
[0144] In an example embodiment, the POH saliva testing device is
associated with using radio frequency technology being safe and
non-ionizing to allow self-screenings to be used instead of
X-ray-based painful and uncomfortable mammograms. The POH saliva
testing device is associated with using image processing algorithms
to diagnose and monitor medical conditions of the user. The POH
saliva testing device is associated with using sensors and enhanced
computing ability provided by the processor or an external device
to provide a practical, accurate, and low-cost solution for medical
diagnosis and monitoring.
[0145] The sensors include image sensors that capture photos and
videos with significant detail and resolution of at least 10
megapixels to enable analysis of the photos and the videos for
self-diagnosis of a disease, self-monitoring of health conditions
of the user using the AI wearable and mobile personal digital
device.
[0146] Thus, various AI wearable and mobile personal digital
devices for facilitating mobile device payments, personal saliva
testing, personal use, and health care, and being POH saliva
testing devices for POH saliva testing have been described.
Although embodiments have been described with reference to specific
example embodiments, it will be evident that various modifications
and changes may be made to these embodiments without departing from
the broader spirit and scope of the system and method described
herein. Accordingly, the specification and drawings are to be
regarded in an illustrative rather than a restrictive sense.
* * * * *