U.S. patent application number 17/455473 was filed with the patent office on 2022-03-10 for facilitation of augmented reality-based space assessment.
The applicant listed for this patent is AT&T Intellectual Property I, L.P.. Invention is credited to Ari Craine, Sameena Khan, Robert Koch, Barrett Kreiner, Ryan Schaub, Brittaney Zellner.
Application Number | 20220076491 17/455473 |
Document ID | / |
Family ID | 1000005983084 |
Filed Date | 2022-03-10 |
United States Patent
Application |
20220076491 |
Kind Code |
A1 |
Zellner; Brittaney ; et
al. |
March 10, 2022 |
FACILITATION OF AUGMENTED REALITY-BASED SPACE ASSESSMENT
Abstract
A view can be presented with an augmented reality (AR) view of
the space. The AR view can be augmented with imagery to indicate to
the viewer environmental conditions that may not otherwise be known
to the viewer. The viewer can also initiate alterations to the
environment based on the information and recommendations presented
in the AR view. Current conditions, past trends, and forecasted
future trends can be included in the creation of the AR
displays.
Inventors: |
Zellner; Brittaney; (Smyrna,
GA) ; Khan; Sameena; (Peachtree Corners, GA) ;
Schaub; Ryan; (Berkeley Lake, GA) ; Kreiner;
Barrett; (Woodstock, GA) ; Craine; Ari;
(Marietta, GA) ; Koch; Robert; (Peachtree Corners,
GA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
AT&T Intellectual Property I, L.P. |
Atlanta |
GA |
US |
|
|
Family ID: |
1000005983084 |
Appl. No.: |
17/455473 |
Filed: |
November 18, 2021 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
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16850632 |
Apr 16, 2020 |
11217029 |
|
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17455473 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06T 19/006 20130101;
H04L 67/38 20130101; G06F 30/13 20200101 |
International
Class: |
G06T 19/00 20060101
G06T019/00; G06F 30/13 20060101 G06F030/13; H04L 29/06 20060101
H04L029/06 |
Claims
1. A method, comprising: receiving, by network equipment comprising
a processor, environment data representative of environmental
characteristics associated with an environment of a home;
converting, by the network equipment, the environment data into
image data representative of an augmented reality image of the
environment of the home; and sending, by the network equipment via
a network, the image data to a user equipment to facilitate
displaying the augmented reality image.
2. The method of claim 1, wherein the image data is first image
data representative of a first augmented reality image of the
environment of the home at a first time, the environment data is
first environment data, and further comprising: predicting second
environment data representative of a future change to the
environmental characteristics that will occur at a second time that
is after the first time, converting, by the network equipment, the
second environment data into second image data representative of a
second augmented reality image of the environment of the home at
the second time, and sending, by the network equipment, via the
network, the second image data to the user equipment to facilitate
displaying the second augmented reality image.
3. The method of claim 2, wherein predicting the future change is
based on construction data representative of a planned construction
associated with the home.
4. The method of claim 2, wherein predicting the future change is
based on traffic trend data representative of a traffic trend in a
defined region associated with the home.
5. The method of claim 2, wherein predicting the future change is
based on population data representative of a population trend in a
defined region associated with the home.
6. The method of claim 2, wherein the first time occurs during
daytime and the second time occurs during nighttime.
7. The method of claim 1, wherein the environment is an interior of
the home.
8. Network equipment, comprising: a processor; and a memory that
stores executable instructions that, when executed by the
processor, facilitate performance of operations, comprising:
receiving, via at least one sensor, environment data representative
of environmental characteristics associated with an environment of
a building; generating image data representative of an augmented
reality image of the environment of the building based on the
environment data; and transmitting, via a network, the image data
to an augmented reality viewing device to facilitate displaying the
augmented reality image.
9. The network equipment of claim 8, wherein the image data is
first image data representative of a first augmented reality image
of the environment of the building at a first time, the environment
data is first environment data, and further comprising: predicting
second environment data representative of a future change to the
environmental characteristics that is threshold likely to occur at
a second time that is after the first time, generating second image
data representative of a second augmented reality image of the
environment of the building at the second time based on the second
environment data, and transmitting, via the network, the second
image data to the augmented reality viewing device to facilitate
displaying the second augmented reality image.
10. The network equipment of claim 9, wherein predicting the future
change is based on planned construction associated with the
building.
11. The network equipment of claim 9, wherein predicting the future
change is based on a traffic trend in a defined region associated
with the building.
12. The network equipment of claim 9, wherein predicting the future
change is based on a population trend in a defined region
associated with the building.
13. The network equipment of claim 9, wherein the first time is
daytime and the second time is nighttime.
14. The network equipment of claim 8, wherein the environment is an
exterior of the building.
15. A non-transitory machine-readable medium, comprising executable
instructions that, when executed by a processor of network
equipment, facilitate performance of operations, comprising:
receiving, via a cellular communications network, environment data
representative of environmental characteristics associated with an
environment of a defined physical space; generating image data
representative of an augmented reality image of the environment of
the defined physical space based on the environment data; and
sending, via the cellular communications network, the image data to
user equipment to facilitate displaying the augmented reality
image.
16. The non-transitory machine-readable medium of claim 15, wherein
the image data is first image data representative of a first
augmented reality image of the environment of the defined physical
space during a first time, the environment data is first
environment data, and further comprising: predicting second
environment data representative of a future change to the
environmental characteristics that will occur during a second time
that is after the first time, generating second image data
representative of a second augmented reality image of the
environment of the defined physical space at the second time based
on the second environment data, and sending, via the cellular
communications network, the second image data to the user equipment
to facilitate displaying the second augmented reality image.
17. The non-transitory machine-readable medium of claim 16, wherein
predicting the future change is based on information representative
of a planned construction associated with the defined physical
space.
18. The non-transitory machine-readable medium of claim 16, wherein
predicting the future change is based on information representative
of a traffic trend in a defined region associated with the defined
physical space.
19. The non-transitory machine-readable medium of claim 16, wherein
predicting the future change is based on information representative
of a population trend in a defined region associated with the
defined physical space.
20. The non-transitory machine-readable medium of claim 16, wherein
the first time is a first defined portion of a day and the second
time is a second defined portion of the day exclusive of the first
defined portion.
Description
RELATED APPLICATION
[0001] The subject patent application is a continuation of, and
claims priority to, U.S. patent application Ser. No. 16/850,632,
filed Apr. 16, 2020, and entitled "FACILITATION OF AUGMENTED
REALITY-BASED SPACE ASSESSMENT," the entirety of which application
is hereby incorporated by reference herein.
TECHNICAL FIELD
[0002] This disclosure relates generally to facilitating real
estate-based space assessment. For example, this disclosure relates
to facilitating augmented reality-based space assessment for real
estate.
BACKGROUND
[0003] Augmented reality (AR) is an interactive experience of a
real-world environment where the objects that reside in the real
world are enhanced by computer-generated perceptual information,
sometimes across multiple sensory modalities, including visual,
auditory, haptic, somatosensory and olfactory. An augogram is a
computer-generated image that is used to create AR. Augography is
the science and practice of making augograms for AR. AR can be
defined as a system that fulfills three basic features: a
combination of real and virtual worlds, real-time interaction, and
accurate 3D registration of virtual and real objects. The overlaid
sensory information can be constructive (e.g., additive to the
natural environment), or destructive (e.g., masking of the natural
environment). This experience is seamlessly interwoven with the
physical world such that it is perceived as an immersive aspect of
the real environment. In this way, augmented reality alters one's
ongoing perception of a real-world environment, whereas virtual
reality completely replaces the user's real-world environment with
a simulated one. Augmented reality is related to two largely
synonymous terms: mixed reality and computer-mediated reality.
[0004] The above-described background relating to an augmented
reality space assessment is merely intended to provide a contextual
overview of some current issues, and is not intended to be
exhaustive. Other contextual information may become further
apparent upon review of the following detailed description.
BRIEF DESCRIPTION OF THE DRAWINGS
[0005] Non-limiting and non-exhaustive embodiments of the subject
disclosure are described with reference to the following figures,
wherein like reference numerals refer to like parts throughout the
various views unless otherwise specified.
[0006] FIG. 1 illustrates an example wireless communication system
in which a network node device (e.g., network node) and user
equipment (UE) can implement various aspects and embodiments of the
subject disclosure.
[0007] FIG. 2 illustrates an example schematic system block diagram
of an AR space assessment system according to one or more
embodiments.
[0008] FIG. 3 illustrates an example schematic system block diagram
of an AR space assessment system comprising environmental data
according to one or more embodiments.
[0009] FIG. 4 illustrates an example schematic system block diagram
of an AR space assessment system comprising video image according
to one or more embodiments.
[0010] FIG. 5 illustrates an example schematic system block diagram
of an AR space assessment system comprising an AR view according to
one or more embodiments.
[0011] FIG. 6 illustrates an example flow diagram for a method for
facilitating augmented reality-bases space assessment according to
one or more embodiments.
[0012] FIG. 7 illustrates an example flow diagram for a system for
facilitating augmented reality-bases space assessment according to
one or more embodiments.
[0013] FIG. 8 illustrates illustrated an example flow diagram for a
machine-readable medium for facilitating augmented reality-bases
space assessment according to one or more embodiments.
[0014] FIG. 9 illustrates an example block diagram of an example
mobile handset operable to engage in a system architecture that
facilitates secure wireless communication according to one or more
embodiments described herein.
[0015] FIG. 10 illustrates an example block diagram of an example
computer operable to engage in a system architecture that
facilitates secure wireless communication according to one or more
embodiments described herein.
DETAILED DESCRIPTION
[0016] In the following description, numerous specific details are
set forth to provide a thorough understanding of various
embodiments. One skilled in the relevant art will recognize,
however, that the techniques described herein can be practiced
without one or more of the specific details, or with other methods,
components, materials, etc. In other instances, well-known
structures, materials, or operations are not shown or described in
detail to avoid obscuring certain aspects.
[0017] Reference throughout this specification to "one embodiment,"
or "an embodiment," means that a particular feature, structure, or
characteristic described in connection with the embodiment is
included in at least one embodiment. Thus, the appearances of the
phrase "in one embodiment," "in one aspect," or "in an embodiment,"
in various places throughout this specification are not necessarily
all referring to the same embodiment. Furthermore, the particular
features, structures, or characteristics may be combined in any
suitable manner in one or more embodiments.
[0018] As utilized herein, terms "component," "system,"
"interface," and the like are intended to refer to a
computer-related entity, hardware, software (e.g., in execution),
and/or firmware. For example, a component can be a processor, a
process running on a processor, an object, an executable, a
program, a storage device, and/or a computer. By way of
illustration, an application running on a server and the server can
be a component. One or more components can reside within a process,
and a component can be localized on one computer and/or distributed
between two or more computers.
[0019] Further, these components can execute from various
machine-readable media having various data structures stored
thereon. The components can communicate via local and/or remote
processes such as in accordance with a signal having one or more
data packets (e.g., data from one component interacting with
another component in a local system, distributed system, and/or
across a network, e.g., the Internet, a local area network, a wide
area network, etc. with other systems via the signal).
[0020] As another example, a component can be an apparatus with
specific functionality provided by mechanical parts operated by
electric or electronic circuitry; the electric or electronic
circuitry can be operated by a software application or a firmware
application executed by one or more processors; the one or more
processors can be internal or external to the apparatus and can
execute at least a part of the software or firmware application. As
yet another example, a component can be an apparatus that provides
specific functionality through electronic components without
mechanical parts; the electronic components can include one or more
processors therein to execute software and/or firmware that
confer(s), at least in part, the functionality of the electronic
components. In an aspect, a component can emulate an electronic
component via a virtual machine, e.g., within a cloud computing
system.
[0021] The words "exemplary" and/or "demonstrative" are used herein
to mean serving as an example, instance, or illustration. For the
avoidance of doubt, the subject matter disclosed herein is not
limited by such examples. In addition, any aspect or design
described herein as "exemplary" and/or "demonstrative" is not
necessarily to be construed as preferred or advantageous over other
aspects or designs, nor is it meant to preclude equivalent
exemplary structures and techniques known to those of ordinary
skill in the art. Furthermore, to the extent that the terms
"includes," "has," "contains," and other similar words are used in
either the detailed description or the claims, such terms are
intended to be inclusive--in a manner similar to the term
"comprising" as an open transition word--without precluding any
additional or other elements.
[0022] As used herein, the term "infer" or "inference" refers
generally to the process of reasoning about, or inferring states
of, the system, environment, user, and/or intent from a set of
observations as captured via events and/or data. Captured data and
events can include user data, device data, environment data, data
from sensors, sensor data, application data, implicit data,
explicit data, etc. Inference can be employed to identify a
specific context or action, or can generate a probability
distribution over states of interest based on a consideration of
data and events, for example.
[0023] Inference can also refer to techniques employed for
composing higher-level events from a set of events and/or data.
Such inference results in the construction of new events or actions
from a set of observed events and/or stored event data, whether the
events are correlated in close temporal proximity, and whether the
events and data come from one or several event and data sources.
Various classification schemes and/or systems (e.g., support vector
machines, neural networks, expert systems, Bayesian belief
networks, fuzzy logic, and data fusion engines) can be employed in
connection with performing automatic and/or inferred action in
connection with the disclosed subject matter.
[0024] In addition, the disclosed subject matter can be implemented
as a method, apparatus, or article of manufacture using standard
programming and/or engineering techniques to produce software,
firmware, hardware, or any combination thereof to control a
computer to implement the disclosed subject matter. The term
"article of manufacture" as used herein is intended to encompass a
computer program accessible from any computer-readable device,
machine-readable device, computer-readable carrier,
computer-readable media, or machine-readable media. For example,
computer-readable media can include, but are not limited to, a
magnetic storage device, e.g., hard disk; floppy disk; magnetic
strip(s); an optical disk (e.g., compact disk (CD), a digital video
disc (DVD), a Blu-ray Disc.TM. (BD)); a smart card; a flash memory
device (e.g., card, stick, key drive); and/or a virtual device that
emulates a storage device and/or any of the above computer-readable
media.
[0025] As an overview, various embodiments are described herein to
facilitate augmented reality space assessments. For simplicity of
explanation, the methods (or algorithms) are depicted and described
as a series of acts. It is to be understood and appreciated that
the various embodiments are not limited by the acts illustrated
and/or by the order of acts. For example, acts can occur in various
orders and/or concurrently, and with other acts not presented or
described herein. Furthermore, not all illustrated acts may be
required to implement the methods. In addition, the methods could
alternatively be represented as a series of interrelated states via
a state diagram or events. Additionally, the methods described
hereafter are capable of being stored on an article of manufacture
(e.g., a machine-readable storage medium) to facilitate
transporting and transferring such methodologies to computers. The
term article of manufacture, as used herein, is intended to
encompass a computer program accessible from any computer-readable
device, carrier, or media, including a non-transitory
machine-readable storage medium.
[0026] It should be noted that although various aspects and
embodiments have been described herein in the context of 5G,
Universal Mobile Telecommunications System (UMTS), and/or Long Term
Evolution (LTE), or other next generation networks, the disclosed
aspects are not limited to 5G, a UMTS implementation, and/or an LTE
implementation as the techniques can also be applied in 3G, 4G or
LTE systems. For example, aspects or features of the disclosed
embodiments can be exploited in substantially any wireless
communication technology. Such wireless communication technologies
can include UMTS, Code Division Multiple Access (CDMA), Wi-Fi,
Worldwide Interoperability for Microwave Access (WiMAX), General
Packet Radio Service (GPRS), Enhanced GPRS, Third Generation
Partnership Project (3GPP), LTE, Third Generation Partnership
Project 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet
Access (HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed
Downlink Packet Access (HSDPA), High-Speed Uplink Packet Access
(HSUPA), Zigbee, or another IEEE 802.12 technology. Additionally,
substantially all aspects disclosed herein can be exploited in
legacy telecommunication technologies.
[0027] Described herein are systems, methods, articles of
manufacture, and other embodiments or implementations that can
facilitate augmented reality space assessments. Facilitating
augmented reality space assessments can be implemented in
connection with any type of device with a connection to the
communications network (e.g., a mobile handset, a computer, a
handheld device, etc.) any Internet of things (TOT) device (e.g.,
toaster, coffee maker, blinds, music players, speakers, etc.),
and/or any connected vehicles (cars, airplanes, space rockets,
and/or other at least partially automated vehicles (e.g., drones)).
In some embodiments the non-limiting term user equipment (UE) is
used. It can refer to any type of wireless device that communicates
with a radio network node in a cellular or mobile communication
system. Examples of UE are target device, device to device (D2D)
UE, machine type UE or UE capable of machine to machine (M2M)
communication, PDA, Tablet, mobile terminals, smart phone, laptop
embedded equipped (LEE), laptop mounted equipment (LME), USB
dongles etc. Note that the terms element, elements and antenna
ports can be interchangeably used but carry the same meaning in
this disclosure. The embodiments are applicable to single carrier
as well as to multicarrier (MC) or carrier aggregation (CA)
operation of the UE. The term carrier aggregation (CA) is also
called (e.g. interchangeably called) "multi-carrier system",
"multi-cell operation", "multi-carrier operation", "multi-carrier"
transmission and/or reception.
[0028] In some embodiments the non-limiting term radio network node
or simply network node is used. It can refer to any type of network
node that serves UE is connected to other network nodes or network
elements or any radio node from where UE receives a signal.
Examples of radio network nodes are Node B, base station (BS),
multi-standard radio (MSR) node such as MSR BS, eNode B, network
controller, radio network controller (RNC), base station controller
(BSC), relay, donor node controlling relay, base transceiver
station (BTS), access point (AP), transmission points, transmission
nodes, RRU, RRH, nodes in distributed antenna system (DAS) etc.
[0029] Cloud radio access networks (RAN) can enable the
implementation of concepts such as software-defined network (SDN)
and network function virtualization (NFV) in 5G networks. Certain
embodiments of this disclosure can comprise an SDN controller that
can control routing of traffic within the network and between the
network and traffic destinations. The SDN controller can be merged
with the 5G network architecture to enable service deliveries via
open application programming interfaces ("APIs") and move the
network core towards an all internet protocol ("IP"), cloud based,
and software driven telecommunications network. The SDN controller
can work with, or take the place of policy and charging rules
function ("PCRF") network elements so that policies such as quality
of service and traffic management and routing can be synchronized
and managed end to end.
[0030] This disclosure describes a solution to present to a viewer
an augmented reality (AR) view of a space. The view can be
augmented with imagery to indicate to the viewer environmental
conditions that may not otherwise be known to the viewer. The
viewer can also initiate alterations to the environment based on
the information and recommendations presented in the AR view.
Current conditions, past trends, and forecasted future trends can
be included in the creation of the AR displays.
[0031] Various data elements can also be collected, over time,
related to the space. The space can be considered to be the
interior of a residential house. The same concepts and technical
solution presented here can also be applied to a commercial space,
rental space, or any other physical space, be it interior,
exterior, or both. The data collected can be collected by sensors
of various types that collect information that describes various
aspects of the environment of the space. The sensors can be fixed
or mobile within the space (e.g., devices carried or worn by
occupants of the space can comprise such sensors). Occupants can
include human beings, pets, and/or autonomous mobile devices such
as robots. Such sensors can have location-aware capabilities to
identify where they are located within the space at any given time
when they sense, collect, and record data.
[0032] Additionally, certain items within the space can have
identification (ID) tags, such as appliances, air vents, windows,
and light fixtures. These identification ID tags can comprise
location information to indicate their location within the space.
The sensors can detect and record data such as light level,
humidity, moisture, air quality, chemical composition, and/or
CO.sub.2 levels. When data is recorded, metadata can be included
such as: time recorded, location, and/or sensor/device ID. The data
and its metadata can be collected over a network and sent to a
sensor data repository.
[0033] Additionally, other data that cannot be gathered via sensors
located within the space, but can be indicative of effects on the
space in the past, current, or future, can also be collected and
stored in an environmental server. This can include data such as
the location of structures or foliage adjacent to the space (e.g.,
such as outside the window, and therefore affecting environmental
factors such as light levels and temperatures within the space).
This data can also include data such as past weather data, forecast
weather data, planned new construction, and past and future
demographic data such as population trends, traffic trends, and
trends in age of the population that can exist within the
space.
[0034] The data collected can be used to view insightful
information that can be otherwise unknown (e.g., either based on
current conditions or projected future conditions), see
recommendations for alterations to the space, and/or see projected
future versions of the space. For example, within a residential
property, a potential buyer or agent can assess the property and
see visual representation of conditions of the space. This solution
can also be used for the owner of the property to periodically
walkthrough the space to identify issues needing attention.
[0035] The visual representation of the data and data analysis
results and recommendations can be presented to a viewer, for
example, using an augmented reality viewer, such as AR glasses.
Without any AR content displayed, the viewer can see the actual
view of the space. The AR viewer can be equipped with a microphone
that allows for speech-based commands to be spoken and sent to an
AR/virtual reality (VR) server. It should be noted that the
microphone can be a digital or a non-digital microphone. For
example, if the microphone is digital, it can produce audio data,
however, the microphone can be non-digital and produce an audio
signal that can be digitized by an analog-to-digital converter to
produce the outputs for facilitation of the scenarios outlined in
this disclosure. The commands can be interpreted using speech
recognition algorithms and used by the AR/VR server to determine AR
content to send to the AR viewer for display. For example, if the
user of the AR viewer says "show nighttime", the AR/VR server can
respond to indicate to the AR viewer to adjust the light levels of
natural light sources within the field of view of the viewer.
Natural light sources such as windows may have been previously
identified as AR markers.
[0036] Alternatively, if the AR/VR server determines that actual
video or image content exists for the space at nighttime, it can
send this content to the AR viewer for display. In this scenario,
the AR viewer can switch to video mode to display the image/video
content without an AR overlay effect. The user can issue a command
such as "show airflow" at night time. In this case, the
environmental server can collect environmental and sensor data, in
particular, airflow sensor data can be collected and recorded over
time and stored in the sensor data repository. Using the data and
its metadata, the environmental server can calculate flow levels
and changes over time at different sensor locations within the
space. The environmental server can send the results to the AR/VR
server.
[0037] The AR/VR server can convert the analyzed data results to AR
imagery to be displayed via the AR viewer and send this AR content
for display. Using trend analysis, comparison of data over time
and/or versus a previous period of time, the AR view can display
the data analysis in an informative and location-relevant manner.
Metadata from the sensor can also, for example, can display an
indication of the sensor location (e.g., windows in this case, were
installed). Indicia, such as arrows, can also be sent from the AR
server for display. Their size, number, and degree of motion can
serve as a visual indication of the amount and speed of
airflow.
[0038] The user can also issue a command such as "show
temperature". In this scenario, the environmental server can
collect environmental and sensor data, in particular, temperature
sensor data collected and recorded over time and stored in the
sensor data repository. Using the data and its metadata, the
environmental server can calculate average temperature levels and
changes over time at different sensor locations within the space.
The environmental server can send the results to the AR/VR server.
The AR/VR server can convert the analyzed data results to AR
imagery to be displayed via the AR viewer and send the AR content
for display. Using trend analysis, comparison of data over time and
versus a previous period of time, the AR view can display the data
analysis in an informative location-relevant manner. In this case,
a number of sensors within an area can comprise a "zone" and their
average can represent the zone temperature.
[0039] In another embodiment, in response to a command such as
"show me 10 years from now", the environmental data can be used to
forecast a future view outside of the space. For instance, the
environmental server can send, to the AR server, data that is
indicative of a date 10 years in the future (e.g., traffic
increase/decrease, planned construction, and/or planned changes to
the demographics of the surrounding area). The AR server can
interpret this data and recognize, via AR markers, that the viewer
is looking out a window. Thus, imagery to simulate a future view
that is representative of the predicted data can be sent to the AR
viewer.
[0040] The user can choose to conduct a walkthrough of the space
for the purpose of identifying potential issues and seeking
recommendations to add to a project list. A walkthrough route can
be stored in a database associated with the environmental server.
The route can be communicated to the AR server to allow it to
instruct the AR viewer to display imagery, such as arrows, to
direct the user's walkthrough to ensure that all of the space is
covered. In walkthrough mode, the AR imagery can be presented as
before. It can now also be supplemented by recommendations on items
to add to a project list. If environmental conditions are detected
that are beyond a threshold, the AR server can query additional
sources to make the recommendations. For example, if significant
drafts are detected around windows, the AR server can collect and
compare window replacement offers and recommend one. In this case,
the metadata associated with the window sensors can include when
the windows were installed and their dimensions. In some cases, the
recommendations to be added to the project list can involve a
recommended action for the user such as adjusting a thermostat to
save energy costs, and/or replacing a battery. Similarly, some
items can show as "green" status, which can indicate that no action
is recommended. Some AR displays can show as being urgent, which
can be an indication of high priority problems, such as a gas leak,
or leaky roof.
[0041] It should also be noted that an artificial intelligence (AI)
component can facilitate automating one or more features in
accordance with the disclosed aspects. A memory and a processor as
well as other components can include functionality with regard to
the figures. The disclosed aspects in connection with augmented
reality space assessment can employ various AI-based schemes for
carrying out various aspects thereof. For example, a process for
detecting one or more trigger events, reducing a visual
instantiation as a result of the one or more trigger events, and
modifying one or more reported measurements, and so forth, can be
facilitated with an example automatic classifier system and
process. In another example, a process for penalizing one augmented
reality-based image while preferring another augmented reality
based image can be facilitated with the example automatic
classifier system and process.
[0042] An example classifier can be a function that maps an input
attribute vector, x=(x1, x2, x3, x4, xn), to a confidence that the
input belongs to a class, that is, f(x)=confidence(class). Such
classification can employ a probabilistic and/or statistical-based
analysis (e.g., factoring into the analysis utilities and costs) to
prognose or infer an action that can be automatically
performed.
[0043] A support vector machine (SVM) is an example of a classifier
that can be employed. The SVM can operate by finding a hypersurface
in the space of possible inputs, which the hypersurface attempts to
split the triggering criteria from the non-triggering events.
Intuitively, this makes the classification correct for testing data
that is near, but not identical to training data. Other directed
and undirected model classification approaches include, for
example, naive Bayes, Bayesian networks, decision trees, neural
networks, fuzzy logic models, and probabilistic classification
models providing different patterns of independence can be
employed. Classification as used herein also may be inclusive of
statistical regression that is utilized to develop models of
priority.
[0044] The disclosed aspects can employ classifiers that are
explicitly trained (e.g., via a generic training data) as well as
implicitly trained (e.g., via observing mobile device usage as it
relates to triggering events, observing network
frequency/technology, receiving extrinsic information, and so on).
For example, SVMs can be configured via a learning or training
phase within a classifier constructor and feature selection module.
Thus, the classifier(s) can be used to automatically learn and
perform a number of functions, including but not limited to
modifying an image to be output, modifying one or more reported
spatial measurements, and so forth. The criteria can include, but
is not limited to, predefined values, frequency attenuation tables
or other parameters, service provider preferences and/or policies,
and so on.
[0045] In one embodiment, described herein is a method comprising
receiving, by a server device comprising a processor, environment
data representative of an environmental characteristic associated
with an environment of a home. The method can comprise receiving,
by the server device, sensor data representative of sensed
characteristic associated with the environment of the home. Based
on the environment data and the sensor data, the method can
comprise converting, by the server device, the environment data and
the sensor data into image data representative of an augmented
reality image. Additionally, in response to the converting, the
method can comprise sending, by the server device through a
wireless network, the image data to an augmented reality viewing
device to facilitate displaying the augmented reality image via the
augmented reality viewing device.
[0046] According to another embodiment, a system can facilitate,
receiving environment data representative of an environmental
characteristic associated with an environment of a building. The
system can comprise receiving sensor data representative of sensed
condition perceived by a sensor in the building. Based on the
environment data and the sensor data, the system can comprise
generating image data representative of an image to be displayed by
an augmented reality device. Furthermore, in response to the
generating, the system can comprise facilitating displaying the
image via the augmented reality device.
[0047] According to yet another embodiment, described herein is a
machine-readable storage medium that can perform the operations
comprising receiving environment data representative of an
environmental condition associated with an environment of a
building. The machine-readable storage media can perform the
operations comprising receiving sensor data representative of a
sensed condition perceived by a sensor of a group of sensors in the
building. Additionally, based on the environment data and the
sensor data, the machine-readable storage media can perform the
operations comprising generating augmented reality image data
representative of an augmented reality image to be displayed by an
augmented reality device. In response to the generating, the
machine-readable storage media can perform the operations
comprising facilitating displaying the augmented reality image via
the augmented reality device.
[0048] These and other embodiments or implementations are described
in more detail below with reference to the drawings.
[0049] Referring now to FIG. 1, illustrated is an example wireless
communication system 100 in accordance with various aspects and
embodiments of the subject disclosure. In one or more embodiments,
system 100 can comprise one or more user equipment UEs 102. The
non-limiting term user equipment can refer to any type of device
that can communicate with a network node in a cellular or mobile
communication system. A UE can have one or more antenna panels
having vertical and horizontal elements. Examples of a UE comprise
a target device, device to device (D2D) UE, machine type UE or UE
capable of machine to machine (M2M) communications, personal
digital assistant (PDA), tablet, mobile terminals, smart phone,
laptop mounted equipment (LME), universal serial bus (USB) dongles
enabled for mobile communications, a computer having mobile
capabilities, a mobile device such as cellular phone, a laptop
having laptop embedded equipment (LEE, such as a mobile broadband
adapter), a tablet computer having a mobile broadband adapter, a
wearable device, a virtual reality (VR) device, a heads-up display
(HUD) device, a smart car, a machine-type communication (MTC)
device, and the like. User equipment UE 102 can also comprise IOT
devices that communicate wirelessly.
[0050] In various embodiments, system 100 is or comprises a
wireless communication network serviced by one or more wireless
communication network providers. In example embodiments, a UE 102
can be communicatively coupled to the wireless communication
network via a network node 104. The network node (e.g., network
node device) can communicate with user equipment (UE), thus
providing connectivity between the UE and the wider cellular
network. The UE 102 can send transmission type recommendation data
to the network node 104. The transmission type recommendation data
can comprise a recommendation to transmit data via a closed loop
MIMO mode and/or a rank-1 precoder mode.
[0051] A network node can have a cabinet and other protected
enclosures, an antenna mast, and multiple antennas for performing
various transmission operations (e.g., MIMO operations). Network
nodes can serve several cells, also called sectors, depending on
the configuration and type of antenna. In example embodiments, the
UE 102 can send and/or receive communication data via a wireless
link to the network node 104. The dashed arrow lines from the
network node 104 to the UE 102 represent downlink (DL)
communications and the solid arrow lines from the UE 102 to the
network nodes 104 represents an uplink (UL) communication.
[0052] System 100 can further include one or more communication
service provider networks 106 that facilitate providing wireless
communication services to various UEs, including UE 102, via the
network node 104 and/or various additional network devices (not
shown) included in the one or more communication service provider
networks 106. The one or more communication service provider
networks 106 can include various types of disparate networks,
including but not limited to: cellular networks, femto networks,
picocell networks, microcell networks, internet protocol (IP)
networks Wi-Fi service networks, broadband service network,
enterprise networks, cloud based networks, and the like. For
example, in at least one implementation, system 100 can be or
include a large scale wireless communication network that spans
various geographic areas. According to this implementation, the one
or more communication service provider networks 106 can be or
include the wireless communication network and/or various
additional devices and components of the wireless communication
network (e.g., additional network devices and cell, additional UEs,
network server devices, etc.). The network node 104 can be
connected to the one or more communication service provider
networks 106 via one or more backhaul links 108. For example, the
one or more backhaul links 108 can comprise wired link components,
such as a T1/E1 phone line, a digital subscriber line (DSL) (e.g.,
either synchronous or asynchronous), an asymmetric DSL (ADSL), an
optical fiber backbone, a coaxial cable, and the like. The one or
more backhaul links 108 can also include wireless link components,
such as but not limited to, line-of-sight (LOS) or non-LOS links
which can include terrestrial air-interfaces or deep space links
(e.g., satellite communication links for navigation).
[0053] Wireless communication system 100 can employ various
cellular systems, technologies, and modulation modes to facilitate
wireless radio communications between devices (e.g., the UE 102 and
the network node 104). While example embodiments might be described
for 5G new radio (NR) systems, the embodiments can be applicable to
any radio access technology (RAT) or multi-RAT system where the UE
operates using multiple carriers e.g. LTE FDD/TDD, GSM/GERAN,
CDMA2000 etc.
[0054] For example, system 100 can operate in accordance with
global system for mobile communications (GSM), universal mobile
telecommunications service (UMTS), long term evolution (LTE), LTE
frequency division duplexing (LTE FDD, LTE time division duplexing
(TDD), high speed packet access (HSPA), code division multiple
access (CDMA), wideband CDMA (WCMDA), CDMA2000, time division
multiple access (TDMA), frequency division multiple access (FDMA),
multi-carrier code division multiple access (MC-CDMA),
single-carrier code division multiple access (SC-CDMA),
single-carrier FDMA (SC-FDMA), orthogonal frequency division
multiplexing (OFDM), discrete Fourier transform spread OFDM
(DFT-spread OFDM) single carrier FDMA (SC-FDMA), Filter bank based
multi-carrier (FBMC), zero tail DFT-spread-OFDM (ZT DFT-s-OFDM),
generalized frequency division multiplexing (GFDM), fixed mobile
convergence (FMC), universal fixed mobile convergence (UFMC),
unique word OFDM (UW-OFDM), unique word DFT-spread OFDM (UW
DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,
resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like.
However, various features and functionalities of system 100 are
particularly described wherein the devices (e.g., the UEs 102 and
the network device 104) of system 100 are configured to communicate
wireless signals using one or more multi carrier modulation
schemes, wherein data symbols can be transmitted simultaneously
over multiple frequency subcarriers (e.g., OFDM, CP-OFDM,
DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments are applicable
to single carrier as well as to multicarrier (MC) or carrier
aggregation (CA) operation of the UE. The term carrier aggregation
(CA) is also called (e.g. interchangeably called) "multi-carrier
system", "multi-cell operation", "multi-carrier operation",
"multi-carrier" transmission and/or reception. Note that some
embodiments are also applicable for Multi RAB (radio bearers) on
some carriers (that is data plus speech is simultaneously
scheduled).
[0055] In various embodiments, system 100 can be configured to
provide and employ 5G wireless networking features and
functionalities. 5G wireless communication networks are expected to
fulfill the demand of exponentially increasing data traffic and to
allow people and machines to enjoy gigabit data rates with
virtually zero latency. Compared to 4G, 5G supports more diverse
traffic scenarios. For example, in addition to the various types of
data communication between conventional UEs (e.g., phones,
smartphones, tablets, PCs, televisions, Internet enabled
televisions, etc.) supported by 4G networks, 5G networks can be
employed to support data communication between smart cars in
association with driverless car environments, as well as machine
type communications (MTCs). Considering the drastic different
communication needs of these different traffic scenarios, the
ability to dynamically configure waveform parameters based on
traffic scenarios while retaining the benefits of multi carrier
modulation schemes (e.g., OFDM and related schemes) can provide a
significant contribution to the high speed/capacity and low latency
demands of 5G networks. With waveforms that split the bandwidth
into several sub-bands, different types of services can be
accommodated in different sub-bands with the most suitable waveform
and numerology, leading to an improved spectrum utilization for 5G
networks.
[0056] To meet the demand for data centric applications, features
of proposed 5G networks may comprise: increased peak bit rate
(e.g., 20 Gbps), larger data volume per unit area (e.g., high
system spectral efficiency--for example about 3.5 times that of
spectral efficiency of long term evolution (LTE) systems), high
capacity that allows more device connectivity both concurrently and
instantaneously, lower battery/power consumption (which reduces
energy and consumption costs), better connectivity regardless of
the geographic region in which a user is located, a larger numbers
of devices, lower infrastructural development costs, and higher
reliability of the communications. Thus, 5G networks may allow for:
data rates of several tens of megabits per second should be
supported for tens of thousands of users, 1 gigabit per second to
be offered simultaneously to tens of workers on the same office
floor, for example; several hundreds of thousands of simultaneous
connections to be supported for massive sensor deployments;
improved coverage, enhanced signaling efficiency; reduced latency
compared to LTE.
[0057] The upcoming 5G access network may utilize higher
frequencies (e.g., >6 GHz) to aid in increasing capacity.
Currently, much of the millimeter wave (mmWave) spectrum, the band
of spectrum between 30 gigahertz (GHz) and 300 GHz is
underutilized. The millimeter waves have shorter wavelengths that
range from 10 millimeters to 1 millimeter, and these mmWave signals
experience severe path loss, penetration loss, and fading. However,
the shorter wavelength at mmWave frequencies also allows more
antennas to be packed in the same physical dimension, which allows
for large-scale spatial multiplexing and highly directional
beamforming.
[0058] Performance can be improved if both the transmitter and the
receiver are equipped with multiple antennas. Multi-antenna
techniques can significantly increase the data rates and
reliability of a wireless communication system. The use of multiple
input multiple output (MIMO) techniques, which was introduced in
the third-generation partnership project (3GPP) and has been in use
(including with LTE), is a multi-antenna technique that can improve
the spectral efficiency of transmissions, thereby significantly
boosting the overall data carrying capacity of wireless systems.
The use of multiple-input multiple-output (MIMO) techniques can
improve mmWave communications, and has been widely recognized a
potentially important component for access networks operating in
higher frequencies. MIMO can be used for achieving diversity gain,
spatial multiplexing gain and beamforming gain. For these reasons,
MIMO systems are an important part of the 3rd and 4th generation
wireless systems, and are planned for use in 5G systems.
[0059] Referring now to FIG. 1-FIG. 5, illustrated are example
schematic system block diagrams of an AR space assessment system
200, 300, 400, and 500 according to one or more embodiments.
Various data elements can also be collected, over time, related to
the space of a dwelling 202. Sensors 204 can sense characteristics
associated with various aspects of the environment of the space.
The sensors 204A can be fixed or mobile within the space (e.g.,
devices carried or worn by occupants of the space can comprise such
sensors). Additionally, certain items within the space can have
identification (ID) tags 204B, such as appliances, air vents,
windows, and light fixtures. These ID tags 204B can comprise
location information to indicate their location within the space.
The sensors 204A can detect and record data such as light level,
humidity, moisture, air quality, chemical composition, temperature,
airflow, and/or CO.sub.2 levels. A cloud-based network can be
facilitated via one or more server devices 206 and/or data servers.
For instance, the sensor data can be stored in a sensor data
repository 212 after being received from the environmental server
210. The environmental server 210 can send and receive data to/from
the sensor data repository 212 and/or the server device 206.
[0060] An environmental server (or "engine") 210 can receive
environmental data associated with the dwelling 202 from the
cloud-based server device 206. This can include data such as the
location of structures or foliage adjacent to the space (e.g., such
as outside the window, and therefore affecting environmental
factors such as light levels and temperatures within the space).
This data can also include data such as past weather data, forecast
weather data, planned new construction, and past and future
demographic data such as population trends, traffic trends, and
trends in age of the population that can exist within the
space.
[0061] The collected sensor data and the ID tag data can be used to
view insightful information that can be otherwise unknown. A visual
representation of the data and data analysis results and
recommendations can be presented to a viewer, via an AR view (e.g.,
AR glasses and/or other devices) that can receive AR/VR server data
from an AR/VR server 208. If the AR/VR server 208 determines that
actual video or image content exists for the space at nighttime, it
can send this content to the AR viewer 500 for display. In this
scenario, the AR viewer 500 can switch to video mode to display the
image/video content without an AR overlay effect. The user can
issue a command such as "show airflow". In this case, the
environmental server 210 can collect environmental and sensor data
from the sensors 204A, in particular, airflow sensor data can be
collected and recorded over time and stored in the sensor data
repository. The AR/VR server 208 can also receive video/image
content from a video/image repository 402 and send image/video
content to the video image repository 402. Using the data and its
metadata, the environmental server 210 can calculate flow levels
and changes over time at different sensor locations within the
space. The environmental server 210 can send the results to the
AR/VR server 208. In some embodiments, the environmental server 210
can send and/or receive its data to/from an environmental data
repository 302.
[0062] The AR/VR server 208 can convert the analyzed data results
to AR imagery to be displayed via the AR viewer 500 and send this
AR content for display at the AR viewer 500. Using trend analysis,
comparison of data over time and/or versus a previous period of
time, the AR view can display the data analysis in an informative
and location-relevant manner. Metadata from the sensor can also,
for example, can display an indication of the sensor location
(e.g., windows in this case, were installed). Indicia, such as
arrows, can also be sent from the AR/VR server 208 for display.
Their size, number, and degree of motion can serve as a visual
indication of the amount and speed of airflow.
[0063] The user can also issue a command such as "show
temperature". In this scenario, the environmental server 210 can
collect environmental and sensor data, in particular, temperature
sensor data collected and recorded over time and stored in the
sensor data repository. Using the data and its metadata, the
environmental server 210 can calculate average temperature levels
and changes over time at different sensor locations within the
space. The environmental server 210 can send the results to the
AR/VR server 208. The AR/VR server 208 can convert the analyzed
data results to AR imagery to be displayed via the AR viewer 500
and send the AR content for display. Using trend analysis,
comparison of data over time and versus a previous period of time,
the AR viewer 500 can display the data analysis in an informative
location-relevant manner. The AR/VR server data can comprise future
data (e.g., traffic increase/decrease, planned construction, and/or
planned changes to the demographics of the surrounding area) to
simulate a future view that is representative of the predicted data
and can be sent to the AR viewer 500.
[0064] Referring now to FIG. 6, illustrated an example flow diagram
for a method for facilitating augmented reality-bases space
assessment according to one or more embodiments. At element 600,
the method can comprise receiving, by a server device comprising a
processor, environment data representative of an environmental
characteristic associated with an environment of a home. At element
602, the method can comprise receiving, by the server device,
sensor data representative of sensed characteristic associated with
the environment of the home. Based on the environment data and the
sensor data, at element 604, the method can comprise converting, by
the server device, the environment data and the sensor data into
image data representative of an augmented reality image.
Additionally, at element 606, in response to the converting, the
method can comprise sending, by the server device through a
wireless network, the image data to an augmented reality viewing
device to facilitate displaying the augmented reality image via the
augmented reality viewing device.
[0065] Referring now to FIG. 7, illustrated an example flow diagram
for a system for facilitating augmented reality-bases space
assessment according to one or more embodiments. At element 700,
the system can facilitate, receiving environment data
representative of an environmental characteristic associated with
an environment of a building. At element 702, the system can
comprise receiving sensor data representative of sensed condition
perceived by a sensor in the building. Based on the environment
data and the sensor data, at element 704, the system can comprise
generating image data representative of an image to be displayed by
an augmented reality device. Furthermore, at element 706, in
response to the generating, the system can comprise facilitating
displaying the image via the augmented reality device.
[0066] Referring now to FIG. 8, illustrated an example flow diagram
for a machine-readable medium for facilitating augmented
reality-bases space assessment according to one or more
embodiments. At element 800, the machine-readable storage medium
that can perform the operations comprising receiving environment
data representative of an environmental condition associated with
an environment of a building. At element 802, the machine-readable
storage media can perform the operations comprising receiving
sensor data representative of a sensed condition perceived by a
sensor of a group of sensors in the building. Additionally, based
on the environment data and the sensor data, at element 804, the
machine-readable storage media can perform the operations
comprising generating augmented reality image data representative
of an augmented reality image to be displayed by an augmented
reality device. In response to the generating, at element 806, the
machine-readable storage media can perform the operations
comprising facilitating displaying the augmented reality image via
the augmented reality device.
[0067] Referring now to FIG. 9, illustrated is a schematic block
diagram of an exemplary end-user device such as a mobile device
capable of connecting to a network in accordance with some
embodiments described herein. Although a mobile handset 900 is
illustrated herein, it will be understood that other devices can be
a mobile device, and that the mobile handset 900 is merely
illustrated to provide context for the embodiments of the various
embodiments described herein. The following discussion is intended
to provide a brief, general description of an example of a suitable
environment 900 in which the various embodiments can be
implemented. While the description includes a general context of
computer-executable instructions embodied on a machine-readable
storage medium, those skilled in the art will recognize that the
innovation also can be implemented in combination with other
program modules and/or as a combination of hardware and
software.
[0068] Generally, applications (e.g., program modules) can include
routines, programs, components, data structures, etc., that perform
particular tasks or implement particular abstract data types.
Moreover, those skilled in the art will appreciate that the methods
described herein can be practiced with other system configurations,
including single-processor or multiprocessor systems,
minicomputers, mainframe computers, as well as personal computers,
hand-held computing devices, microprocessor-based or programmable
consumer electronics, and the like, each of which can be
operatively coupled to one or more associated devices.
[0069] A computing device can typically include a variety of
machine-readable media. Machine-readable media can be any available
media that can be accessed by the computer and includes both
volatile and non-volatile media, removable and non-removable media.
By way of example and not limitation, computer-readable media can
comprise computer storage media and communication media. Computer
storage media can include volatile and/or non-volatile media,
removable and/or non-removable media implemented in any method or
technology for storage of information, such as computer-readable
instructions, data structures, program modules or other data.
Computer storage media can include, but is not limited to, RAM,
ROM, EEPROM, flash memory or other memory technology, CD ROM,
digital video disk (DVD) or other optical disk storage, magnetic
cassettes, magnetic tape, magnetic disk storage or other magnetic
storage devices, or any other medium which can be used to store the
desired information and which can be accessed by the computer.
[0070] Communication media typically embodies computer-readable
instructions, data structures, program modules or other data in a
modulated data signal such as a carrier wave or other transport
mechanism, and includes any information delivery media. The term
"modulated data signal" means a signal that has one or more of its
characteristics set or changed in such a manner as to encode
information in the signal. By way of example, and not limitation,
communication media includes wired media such as a wired network or
direct-wired connection, and wireless media such as acoustic, RF,
infrared and other wireless media. Combinations of the any of the
above should also be included within the scope of computer-readable
media.
[0071] The handset 900 includes a processor 902 for controlling and
processing all onboard operations and functions. A memory 904
interfaces to the processor 902 for storage of data and one or more
applications 906 (e.g., a video player software, user feedback
component software, etc.). Other applications can include voice
recognition of predetermined voice commands that facilitate
initiation of the user feedback signals. The applications 906 can
be stored in the memory 904 and/or in a firmware 908, and executed
by the processor 902 from either or both the memory 904 or/and the
firmware 908. The firmware 908 can also store startup code for
execution in initializing the handset 900. A communications
component 910 interfaces to the processor 902 to facilitate
wired/wireless communication with external systems, e.g., cellular
networks, VoIP networks, and so on. Here, the communications
component 910 can also include a suitable cellular transceiver 911
(e.g., a GSM transceiver) and/or an unlicensed transceiver 913
(e.g., Wi-Fi, WiMax) for corresponding signal communications. The
handset 900 can be a device such as a cellular telephone, a PDA
with mobile communications capabilities, and messaging-centric
devices. The communications component 910 also facilitates
communications reception from terrestrial radio networks (e.g.,
broadcast), digital satellite radio networks, and Internet-based
radio services networks.
[0072] The handset 900 includes a display 912 for displaying text,
images, video, telephony functions (e.g., a Caller ID function),
setup functions, and for user input. For example, the display 912
can also be referred to as a "screen" that can accommodate the
presentation of multimedia content (e.g., music metadata, messages,
wallpaper, graphics, etc.). The display 912 can also display videos
and can facilitate the generation, editing and sharing of video
quotes. A serial I/O interface 914 is provided in communication
with the processor 902 to facilitate wired and/or wireless serial
communications (e.g., USB, and/or IEEE 1394) through a hardwire
connection, and other serial input devices (e.g., a keyboard,
keypad, and mouse). This supports updating and troubleshooting the
handset 900, for example. Audio capabilities are provided with an
audio I/O component 916, which can include a speaker for the output
of audio signals related to, for example, indication that the user
pressed the proper key or key combination to initiate the user
feedback signal. The audio I/O component 916 also facilitates the
input of audio signals through a microphone to record data and/or
telephony voice data, and for inputting voice signals for telephone
conversations.
[0073] The handset 900 can include a slot interface 918 for
accommodating a SIC (Subscriber Identity Component) in the form
factor of a card Subscriber Identity Module (SIM) or universal SIM
920, and interfacing the SIM card 920 with the processor 902.
However, it is to be appreciated that the SIM card 920 can be
manufactured into the handset 900, and updated by downloading data
and software.
[0074] The handset 900 can process IP data traffic through the
communication component 910 to accommodate IP traffic from an IP
network such as, for example, the Internet, a corporate intranet, a
home network, a person area network, etc., through an ISP or
broadband cable provider. Thus, VoIP traffic can be utilized by the
handset 900 and IP-based multimedia content can be received in
either an encoded or decoded format.
[0075] A video processing component 922 (e.g., a camera) can be
provided for decoding encoded multimedia content. The video
processing component 922 can aid in facilitating the generation,
editing and sharing of video quotes. The handset 900 also includes
a power source 924 in the form of batteries and/or an AC power
subsystem, which power source 924 can interface to an external
power system or charging equipment (not shown) by a power I/O
component 926.
[0076] The handset 900 can also include a video component 930 for
processing video content received and, for recording and
transmitting video content. For example, the video component 930
can facilitate the generation, editing and sharing of video quotes.
A location tracking component 932 facilitates geographically
locating the handset 900. As described hereinabove, this can occur
when the user initiates the feedback signal automatically or
manually. A user input component 934 facilitates the user
initiating the quality feedback signal. The user input component
934 can also facilitate the generation, editing and sharing of
video quotes. The user input component 934 can include such
conventional input device technologies such as a keypad, keyboard,
mouse, stylus pen, and/or touch screen, for example.
[0077] Referring again to the applications 906, a hysteresis
component 936 facilitates the analysis and processing of hysteresis
data, which is utilized to determine when to associate with the
access point. A software trigger component 938 can be provided that
facilitates triggering of the hysteresis component 938 when the
Wi-Fi transceiver 913 detects the beacon of the access point. A SIP
client 940 enables the handset 900 to support SIP protocols and
register the subscriber with the SIP registrar server. The
applications 906 can also include a client 942 that provides at
least the capability of discovery, play and store of multimedia
content, for example, music.
[0078] The handset 900, as indicated above related to the
communications component 910, includes an indoor network radio
transceiver 913 (e.g., Wi-Fi transceiver). This function supports
the indoor radio link, such as IEEE 802.11, for the dual-mode GSM
handset 900. The handset 900 can accommodate at least satellite
radio services through a handset that can combine wireless voice
and digital radio chipsets into a single handheld device.
[0079] In order to provide additional context for various
embodiments described herein, FIG. 10 and the following discussion
are intended to provide a brief, general description of a suitable
computing environment 1000 in which the various embodiments of the
embodiment described herein can be implemented. While the
embodiments have been described above in the general context of
computer-executable instructions that can run on one or more
computers, those skilled in the art will recognize that the
embodiments can be also implemented in combination with other
program modules and/or as a combination of hardware and
software.
[0080] Generally, program modules include routines, programs,
components, data structures, etc., that perform particular tasks or
implement particular abstract data types. Moreover, those skilled
in the art will appreciate that the disclosed methods can be
practiced with other computer system configurations, including
single-processor or multiprocessor computer systems, minicomputers,
mainframe computers, Internet of Things (IoT) devices, distributed
computing systems, as well as personal computers, hand-held
computing devices, microprocessor-based or programmable consumer
electronics, and the like, each of which can be operatively coupled
to one or more associated devices.
[0081] The illustrated embodiments of the embodiments herein can be
also practiced in distributed computing environments where certain
tasks are performed by remote processing devices that are linked
through a communications network. In a distributed computing
environment, program modules can be located in both local and
remote memory storage devices.
[0082] Computing devices typically include a variety of media,
which can include computer-readable storage media, machine-readable
storage media, and/or communications media, which two terms are
used herein differently from one another as follows.
Computer-readable storage media or machine-readable storage media
can be any available storage media that can be accessed by the
computer and includes both volatile and nonvolatile media,
removable and non-removable media. By way of example, and not
limitation, computer-readable storage media or machine-readable
storage media can be implemented in connection with any method or
technology for storage of information such as computer-readable or
machine-readable instructions, program modules, structured data or
unstructured data.
[0083] Computer-readable storage media can include, but are not
limited to, random access memory (RAM), read only memory (ROM),
electrically erasable programmable read only memory (EEPROM), flash
memory or other memory technology, compact disk read only memory
(CD-ROM), digital versatile disk (DVD), Blu-ray disc (BD) or other
optical disk storage, magnetic cassettes, magnetic tape, magnetic
disk storage or other magnetic storage devices, solid state drives
or other solid state storage devices, or other tangible and/or
non-transitory media which can be used to store desired
information. In this regard, the terms "tangible" or
"non-transitory" herein as applied to storage, memory or
computer-readable media, are to be understood to exclude only
propagating transitory signals per se as modifiers and do not
relinquish rights to all standard storage, memory or
computer-readable media that are not only propagating transitory
signals per se.
[0084] Computer-readable storage media can be accessed by one or
more local or remote computing devices, e.g., via access requests,
queries or other data retrieval protocols, for a variety of
operations with respect to the information stored by the
medium.
[0085] Communications media typically embody computer-readable
instructions, data structures, program modules or other structured
or unstructured data in a data signal such as a modulated data
signal, e.g., a carrier wave or other transport mechanism, and
includes any information delivery or transport media. The term
"modulated data signal" or signals refers to a signal that has one
or more of its characteristics set or changed in such a manner as
to encode information in one or more signals. By way of example,
and not limitation, communication media include wired media, such
as a wired network or direct-wired connection, and wireless media
such as acoustic, RF, infrared and other wireless media.
[0086] With reference again to FIG. 10, the example environment
1000 for implementing various embodiments of the aspects described
herein includes a computer 1002, the computer 1002 including a
processing unit 1004, a system memory 1006 and a system bus 1008.
The system bus 1008 couples system components including, but not
limited to, the system memory 1006 to the processing unit 1004. The
processing unit 1004 can be any of various commercially available
processors. Dual microprocessors and other multi-processor
architectures can also be employed as the processing unit 1004.
[0087] The system bus 1008 can be any of several types of bus
structure that can further interconnect to a memory bus (with or
without a memory controller), a peripheral bus, and a local bus
using any of a variety of commercially available bus architectures.
The system memory 1006 includes ROM 1010 and RAM 1012. A basic
input/output system (BIOS) can be stored in a non-volatile memory
such as ROM, erasable programmable read only memory (EPROM),
EEPROM, which BIOS contains the basic routines that help to
transfer information between elements within the computer 1002,
such as during startup. The RAM 1012 can also include a high-speed
RAM such as static RAM for caching data.
[0088] The computer 1002 further includes an internal hard disk
drive (HDD) 1014 (e.g., EIDE, SATA), one or more external storage
devices 1016 (e.g., a magnetic floppy disk drive (FDD) 1016, a
memory stick or flash drive reader, a memory card reader, etc.) and
an optical disk drive 1020 (e.g., which can read or write from a
CD-ROM disc, a DVD, a BD, etc.). While the internal HDD 1014 is
illustrated as located within the computer 1002, the internal HDD
1014 can also be configured for external use in a suitable chassis
(not shown). Additionally, while not shown in environment 1000, a
solid state drive (SSD) could be used in addition to, or in place
of, an HDD 1014. The HDD 1014, external storage device(s) 1016 and
optical disk drive 1020 can be connected to the system bus 1008 by
an HDD interface 1024, an external storage interface 1026 and an
optical drive interface 1028, respectively. The interface 1024 for
external drive implementations can include at least one or both of
Universal Serial Bus (USB) and Institute of Electrical and
Electronics Engineers (IEEE) 1394 interface technologies. Other
external drive connection technologies are within contemplation of
the embodiments described herein.
[0089] The drives and their associated computer-readable storage
media provide nonvolatile storage of data, data structures,
computer-executable instructions, and so forth. For the computer
1002, the drives and storage media accommodate the storage of any
data in a suitable digital format. Although the description of
computer-readable storage media above refers to respective types of
storage devices, it should be appreciated by those skilled in the
art that other types of storage media which are readable by a
computer, whether presently existing or developed in the future,
could also be used in the example operating environment, and
further, that any such storage media can contain
computer-executable instructions for performing the methods
described herein.
[0090] A number of program modules can be stored in the drives and
RAM 1012, including an operating system 1030, one or more
application programs 1032, other program modules 1034 and program
data 1036. All or portions of the operating system, applications,
modules, and/or data can also be cached in the RAM 1012. The
systems and methods described herein can be implemented utilizing
various commercially available operating systems or combinations of
operating systems.
[0091] Computer 1002 can optionally comprise emulation
technologies. For example, a hypervisor (not shown) or other
intermediary can emulate a hardware environment for operating
system 1030, and the emulated hardware can optionally be different
from the hardware illustrated in FIG. 10. In such an embodiment,
operating system 1030 can comprise one virtual machine (VM) of
multiple VMs hosted at computer 1002. Furthermore, operating system
1030 can provide runtime environments, such as the Java runtime
environment or the .NET framework, for applications 1032. Runtime
environments are consistent execution environments that allow
applications 1032 to run on any operating system that includes the
runtime environment. Similarly, operating system 1030 can support
containers, and applications 1032 can be in the form of containers,
which are lightweight, standalone, executable packages of software
that include, e.g., code, runtime, system tools, system libraries
and settings for an application.
[0092] Further, computer 1002 can be enable with a security module,
such as a trusted processing module (TPM). For instance with a TPM,
boot components hash next in time boot components, and wait for a
match of results to secured values, before loading a next boot
component. This process can take place at any layer in the code
execution stack of computer 1002, e.g., applied at the application
execution level or at the operating system (OS) kernel level,
thereby enabling security at any level of code execution.
[0093] A user can enter commands and information into the computer
1002 through one or more wired/wireless input devices, e.g., a
keyboard 1038, a touch screen 1040, and a pointing device, such as
a mouse 1042. Other input devices (not shown) can include a
microphone, an infrared (IR) remote control, a radio frequency (RF)
remote control, or other remote control, a joystick, a virtual
reality controller and/or virtual reality headset, a game pad, a
stylus pen, an image input device, e.g., camera(s), a gesture
sensor input device, a vision movement sensor input device, an
emotion or facial detection device, a biometric input device, e.g.,
fingerprint or iris scanner, or the like. These and other input
devices are often connected to the processing unit 1004 through an
input device interface 1044 that can be coupled to the system bus
1008, but can be connected by other interfaces, such as a parallel
port, an IEEE 1394 serial port, a game port, a USB port, an IR
interface, a BLUETOOTH.RTM. interface, etc.
[0094] A monitor 1046 or other type of display device can be also
connected to the system bus 1008 via an interface, such as a video
adapter 1048. In addition to the monitor 1046, a computer typically
includes other peripheral output devices (not shown), such as
speakers, printers, etc.
[0095] The computer 1002 can operate in a networked environment
using logical connections via wired and/or wireless communications
to one or more remote computers, such as a remote computer(s) 1050.
The remote computer(s) 1050 can be a workstation, a server
computer, a router, a personal computer, portable computer,
microprocessor-based entertainment appliance, a peer device or
other common network node, and typically includes many or all of
the elements described relative to the computer 1002, although, for
purposes of brevity, only a memory/storage device 1052 is
illustrated. The logical connections depicted include
wired/wireless connectivity to a local area network (LAN) 1054
and/or larger networks, e.g., a wide area network (WAN) 1056. Such
LAN and WAN networking environments are commonplace in offices and
companies, and facilitate enterprise-wide computer networks, such
as intranets, all of which can connect to a global communications
network, e.g., the Internet.
[0096] When used in a LAN networking environment, the computer 1002
can be connected to the local network 1054 through a wired and/or
wireless communication network interface or adapter 1058. The
adapter 1058 can facilitate wired or wireless communication to the
LAN 1054, which can also include a wireless access point (AP)
disposed thereon for communicating with the adapter 1058 in a
wireless mode.
[0097] When used in a WAN networking environment, the computer 1002
can include a modem 1060 or can be connected to a communications
server on the WAN 1056 via other means for establishing
communications over the WAN 1056, such as by way of the Internet.
The modem 1060, which can be internal or external and a wired or
wireless device, can be connected to the system bus 1008 via the
input device interface 1044. In a networked environment, program
modules depicted relative to the computer 1002 or portions thereof,
can be stored in the remote memory/storage device 1052. It will be
appreciated that the network connections shown are example and
other means of establishing a communications link between the
computers can be used.
[0098] When used in either a LAN or WAN networking environment, the
computer 1002 can access cloud storage systems or other
network-based storage systems in addition to, or in place of,
external storage devices 1016 as described above. Generally, a
connection between the computer 1002 and a cloud storage system can
be established over a LAN 1054 or WAN 1056 e.g., by the adapter
1058 or modem 1060, respectively. Upon connecting the computer 1002
to an associated cloud storage system, the external storage
interface 1026 can, with the aid of the adapter 1058 and/or modem
1060, manage storage provided by the cloud storage system as it
would other types of external storage. For instance, the external
storage interface 1026 can be configured to provide access to cloud
storage sources as if those sources were physically connected to
the computer 1002.
[0099] The computer 1002 can be operable to communicate with any
wireless devices or entities operatively disposed in wireless
communication, e.g., a printer, scanner, desktop and/or portable
computer, portable data assistant, communications satellite, any
piece of equipment or location associated with a wirelessly
detectable tag (e.g., a kiosk, news stand, store shelf, etc.), and
telephone. This can include Wireless Fidelity (Wi-Fi) and
BLUETOOTH.RTM. wireless technologies. Thus, the communication can
be a predefined structure as with a conventional network or simply
an ad hoc communication between at least two devices.
[0100] The computer is operable to communicate with any wireless
devices or entities operatively disposed in wireless communication,
e.g., a printer, scanner, desktop and/or portable computer,
portable data assistant, communications satellite, any piece of
equipment or location associated with a wirelessly detectable tag
(e.g., a kiosk, news stand, restroom), and telephone. This includes
at least Wi-Fi and Bluetooth.TM. wireless technologies. Thus, the
communication can be a predefined structure as with a conventional
network or simply an ad hoc communication between at least two
devices.
[0101] Wi-Fi, or Wireless Fidelity, allows connection to the
Internet from a couch at home, a bed in a hotel room, or a
conference room at work, without wires. Wi-Fi is a wireless
technology similar to that used in a cell phone that enables such
devices, e.g., computers, to send and receive data indoors and out;
anywhere within the range of a base station. Wi-Fi networks use
radio technologies called IEEE 802.11 (a, b, g, etc.) to provide
secure, reliable, fast wireless connectivity. A Wi-Fi network can
be used to connect computers to each other, to the Internet, and to
wired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networks
operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps
(802.11a) or 54 Mbps (802.11b) data rate, for example, or with
products that contain both bands (dual band), so the networks can
provide real-world performance similar to the basic 10BaseT wired
Ethernet networks used in many offices.
[0102] The above description of illustrated embodiments of the
subject disclosure, including what is described in the Abstract, is
not intended to be exhaustive or to limit the disclosed embodiments
to the precise forms disclosed. While specific embodiments and
examples are described herein for illustrative purposes, various
modifications are possible that are considered within the scope of
such embodiments and examples, as those skilled in the relevant art
can recognize.
[0103] In this regard, while the subject matter has been described
herein in connection with various embodiments and corresponding
FIGS., where applicable, it is to be understood that other similar
embodiments can be used or modifications and additions can be made
to the described embodiments for performing the same, similar,
alternative, or substitute function of the disclosed subject matter
without deviating therefrom. Therefore, the disclosed subject
matter should not be limited to any single embodiment described
herein, but rather should be construed in breadth and scope in
accordance with the appended claims below.
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