U.S. patent application number 13/662271 was filed with the patent office on 2013-02-28 for system for encouraging a user to perform substantial physical activity.
This patent application is currently assigned to UNIVERSITY OF SOUTHERN CALIFORNIA. The applicant listed for this patent is University Of southern California. Invention is credited to Shu Fen Lin, Dhruv Thukral, Chang Wei-Chung, Michael J. Zyda.
Application Number | 20130052623 13/662271 |
Document ID | / |
Family ID | 42118072 |
Filed Date | 2013-02-28 |
United States Patent
Application |
20130052623 |
Kind Code |
A1 |
Thukral; Dhruv ; et
al. |
February 28, 2013 |
SYSTEM FOR ENCOURAGING A USER TO PERFORM SUBSTANTIAL PHYSICAL
ACTIVITY
Abstract
A system for encouraging a user to perform substantial physical
activity. The system may include sensors that may be worn by the
user while the user is performing a substantial physical activity,
such as running or playing basketball. The sensors may detect the
magnitude of the physical activity and may transmit data regarding
the physical activity to a processing system. The processing system
may display a reward to encourage the user for participating in
physical activity and the reward provided may be based on the
physical activity of the user.
Inventors: |
Thukral; Dhruv; (Santa
Monica, CA) ; Zyda; Michael J.; (Carmel, CA) ;
Wei-Chung; Chang; (Tainan City, TW) ; Lin; Shu
Fen; (Los Angeles, CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
University Of southern California; |
Los Angeles |
CA |
US |
|
|
Assignee: |
UNIVERSITY OF SOUTHERN
CALIFORNIA
Los Angeles
CA
|
Family ID: |
42118072 |
Appl. No.: |
13/662271 |
Filed: |
October 26, 2012 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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13157071 |
Jun 9, 2011 |
8317657 |
|
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13662271 |
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|
12256679 |
Oct 23, 2008 |
7980997 |
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13157071 |
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Current U.S.
Class: |
434/247 |
Current CPC
Class: |
A63B 2220/12 20130101;
A63B 24/0062 20130101; A63B 2220/40 20130101; A63B 24/0059
20130101; A63B 2225/50 20130101; A63B 2024/0096 20130101; A63B
2220/803 20130101; A63B 2024/0071 20130101; A63B 2220/836
20130101 |
Class at
Publication: |
434/247 |
International
Class: |
A63B 69/00 20060101
A63B069/00 |
Claims
1. A system for encouraging a user to perform substantial body
movement, comprising: one or more sensors configured to detect
substantial body movement of a user; a display configured to
display a moving animated character; and a processing system
configured to cause the display to display the animated character
performing substantial body movement that mimics the substantial
body movement detected by the one or more sensors.
2. A system for encouraging a user to perform substantial body
movement, comprising: one or more sensors configured to detect
substantial body movement of a user; and a processing system that:
contains physical motion-recognition algorithms that are configured
to determine the type of the substantial body movement that the one
or more sensors detect the user is performing; and is configured to
determine a reward for the user based on the type of substantial
body movement that the physical motion-recognition algorithms
determine the user is performing.
3. The system for encouraging a user to perform substantial body
movement of claim 2 wherein the physical motion-recognition
algorithms are configured to determine that walking and running are
different types of substantial body movements.
4. The system for encouraging a user to perform substantial body
movement of claim 2 wherein the physical motion-recognition
algorithms are configured to determine that running and jumping are
different types of substantial body movements.
5. The system for encouraging a user to perform substantial body
movement of claim 2 wherein the physical motion-recognition
algorithms are configured to determine that running and bicycling
are different types of substantial body movements.
6. The system for encouraging a user to perform substantial body
movement of claim 2 wherein: the physical motion-recognition
algorithms are configured to determine that the user is not
performing any substantial body movement when the one or more
sensors fail to detect that the user is performing substantial body
movement; and the processing system is configured not to provide
any reward to the user when the physical motion-recognition
algorithms determine that the user is not performing any
substantial body movement.
7. The system for encouraging a user to perform substantial body
movement of claim 2 wherein: the physical motion-recognition
algorithms are configured to determine a health vector from the
substantial body movement detected by the one or more sensors that
is indicative of the effect of the substantial body movement on the
user's health in multiple categories; and the processing system is
configured to determine the reward based on the health vector
determined by the physical motion-recognition algorithms.
8. The system for encouraging a user to perform substantial body
movement of claim 7 wherein one of the multiple categories is
calories burnt, distance traveled, duration of substantial body
movement, duration spent outdoors, or duration spent indoors.
9. The system for encouraging a user to perform substantial body
movement of claim 7 wherein the multiple categories includes at
least two of the following: calories burnt, distance traveled,
duration of substantial body movement, duration spent outdoors, or
duration spent indoors.
10. Non-transitory, tangible, computer-readable storage media
containing a program of instructions containing algorithms
configured to cause a computer processing system running the
program of instructions to encourage a user to perform substantial
body movement by causing a display to display an animated character
performing substantial body movement that mimics the substantial
body movement of the user as detected by one or more sensors.
11. Non-transitory, tangible, computer-readable storage media
containing a program of instructions containing algorithms
configured to encourage a user to perform substantial body movement
by causing a computer processing system running the program of
instructions to: determine the type of substantial body movement
that one or more sensors detect a user is performing using
physical-motion recognition algorithms; and determine and provide a
reward for the user based on the type of substantial body movement
that the physical motion-recognition algorithms determine the user
is performing.
12. The media of claim 11 wherein the physical-motion recognition
algorithms are configured to determine that walking and running are
different types of substantial body movements.
13. The media of claim 11 wherein the physical motion-recognition
algorithms are configured to determine that running and jumping are
different types of substantial body movements.
14. The media of claim 11 wherein the physical motion-recognition
algorithms are configured to determine that running and bicycling
are different types of substantial body movements.
15. The media of claim 11 wherein: the physical motion-recognition
algorithms are configured to determine that the user is not
performing any substantial body movement when the one or more
sensors fail to detect that the user is performing substantial body
movement; and the user is not provided any reward when the physical
motion-recognition algorithms determine that the user is not
performing any substantial body movement.
16. The media of claim 11 wherein: the physical motion-recognition
algorithms are configured to determine a health vector from the
substantial body movement detected by the one or more sensors that
is indicative of the effect of the substantial body movement on the
user's health in multiple categories; and the reward is determined
based on the health vector determined by the physical
motion-recognition algorithms.
17. The media of claim 16 wherein one of the multiple categories is
calories burnt, distance traveled, duration of substantial body
movement, duration spent outdoors, or duration spent indoors.
18. The media of claim 16 wherein the multiple categories includes
at least two of the following: calories burnt, distance traveled,
duration of substantial body movement, duration spent outdoors, or
duration spent indoors.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. application Ser.
No. 13/157,071, filed Jun. 9, 2011, entitled "System for
Encouraging a User to Perform Substantial Physical Activity,"
attorney docket no. 028080-0653, which is a continuation of U.S.
application Ser. No. 12/256,679, filed Oct. 23, 2008 (now U.S. Pat.
No. 7,980,997 B2, issued Jul. 19, 2011), entitled "System for
Encouraging a User To Perform Substantial Physical Activity,"
attorney docket no. 028080-0405. The entire content of both
applications is incorporated herein by reference.
BACKGROUND
[0002] 1. Field
[0003] This application relates to an interactive system that
encourages users to partake in substantial physical exercise.
[0004] 2. Description of Related Art
[0005] Childhood obesity in America is on the rise. Between 5-25
percent of children and teenagers in the United States are obese
(Dietz, 1983). As with adults, the prevalence of obesity in the
young varies by ethnic group. It is estimated that 5-7 percent of
White and Black children are obese, while 12 percent of Hispanic
boys and 19 percent of Hispanic girls are obese (Office of Maternal
and Child Health, 1989).
[0006] Obesity presents numerous problems for the child. In
addition to increasing the risk of obesity in adulthood, childhood
obesity is the leading cause of pediatric hypertension, is
associated with Type II diabetes mellitus, increases the risk of
coronary heart disease, increases stress on the weight-bearing
joints, lowers self-esteem, and affects relationships with peers.
These problems are compounded by the social and psychological
problems faced by children as a consequence of childhood
obesity.
[0007] The three main identified causes for childhood obesity are
family, low-energy expenditure and heredity. While causes such as
family and hereditary require long term commitments and research,
an increase in energy expenditure in children as well as adults may
achieve almost immediate positive results in combating obesity.
[0008] To accomplish increased physical activity, and thereby
combat obesity, the following methods of intervention treatment
have been identified as considerably valuable in combating obesity,
regardless of the cause; Physical Activity, Diet Management and
Behavior Modification.
[0009] Physical activity, through a formal exercise program, or
simply becoming more active, is valuable for burning fat,
increasing energy expenditure, and maintaining lost weight. Most
studies of children have not shown exercise to be a successful
strategy for weight loss unless coupled with another intervention,
such as nutrition education or behavior modification (Wolf et al.,
1985). However, exercise has additional health benefits. Even when
children's body weight and fatness did not change following 50
minutes of aerobic exercise three times per week, blood lipid
profiles and blood pressure did improve (Becque, Katch, Rocchini,
Marks, & Moorehead, 1988).
[0010] Many behavioral strategies used with adults have been
successfully applied to children and adolescents: self-monitoring
and recording food intake and physical activity, slowing the rate
of eating, limiting the time and place of eating, and using rewards
and incentives for desirable behaviors. Particularly effective are
behaviorally based treatments that include parents (Epstein et al.,
1987). Graves, Meyers, and Clark (1988) used problem-solving
exercises in a parent-child behavioral program and found children
in the problem-solving group, but not those in the behavioral
treatment-only group, significantly reduced percent overweight and
maintained reduced weight for six months.
[0011] Some systems such as the Nintendo Wii.TM. allow the user to
expend more energy than playing sedentary computer games. However
the energy used when playing these games is not of high enough
intensity to contribute towards the recommended daily amount of
exercise in children (BBC, 2007). Nintendo's latest iteration of an
Exergame, the Wii-Fit.TM., provides 40 different activities;
however none of them involve any outdoor activity and still require
the user to be located in front of a television in order to play
the game. The Exergame system requires an initial investment of
hundreds of dollars for a console and the game.
[0012] Other systems that help joggers and runner's capture their
physical exercise activity are only limited to capturing exercise
metrics from running. Systems such as Nike Plus.TM. also only
target users who are already health conscious and are engaging in
physical activity, and only need a visualization tool to help keep
track of their own user defined goals. None of the systems in the
above category is tasked at educating and encouraging users to
undergo substantial physical exercise, and at the same time keep
them engaged.
[0013] Therefore a need exists for a system targeted towards
addressing obesity, and childhood obesity in particular, using a
medium that is successful with children and teenagers.
SUMMARY
[0014] A system for encouraging a user to perform substantial
physical activity may comprise one or more sensors that are
configured to be worn by the user while the user is performing the
physical activity. The one or more sensors may be configured to
detect the magnitude of the physical activity, including movement
of the user in one or more directions. The system may also comprise
a user interface that is configured to provide a reward to the user
for performing a substantial physical activity, other than a report
about the physical activity. The system may further comprise a
processing system configured to cause the user interface to provide
the reward to the user based on the magnitude of the physical
activity as detected by the one or more sensors. The reward
generated by the user interface may be configured to display an
animated game comprising an animated character, and the actions of
the animated character may be correlated to the physical activity
of the user.
[0015] These, as well as other components, steps, features,
objects, benefits, and advantages, will now become clear from a
review of the following detailed description of illustrative
embodiments, the accompanying drawings, and the claims.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The drawings disclose illustrative embodiments. They do not
set forth all embodiments. Other embodiments may be used in
addition or instead. Details that may be apparent or unnecessary
may be omitted to save space or for more effective illustration.
Conversely, some embodiments may be practiced without all of the
details that are disclosed. When the same numeral appears in
different drawings, it is intended to refer to the same or like
components or steps.
[0017] FIG. 1 illustrates a block diagram of a system for
encouraging a user to perform substantial physical activity.
[0018] FIG. 2 illustrates a detailed block diagram of the sensor
module the system of FIG. 1.
[0019] FIG. 3 illustrates a block diagram of a sensor module with
an onboard processor and a wired and/or wireless communication
interface.
[0020] FIG. 4 illustrates a block diagram of a sensor with a wired
and/or wireless communication interface and on board storage.
[0021] FIG. 5 illustrates system for encouraging a user to perform
substantial physical activity without a separate sensor module.
[0022] FIG. 6 illustrates the sensor system of FIG. 1 in use by a
user not participating in substantial physical activity.
[0023] FIG. 7 illustrates the sensor system of FIG. 1 in use while
the user is running.
[0024] FIG. 8 illustrates the sensor system of FIG. 1 in use while
the user is riding a bicycle.
[0025] FIG. 9 illustrates the sensor system of FIG. 1 in use while
the user is not participating in substantial physical activity with
no reward.
[0026] FIG. 10 illustrates system of FIG. 1 in use while the user
of FIG. 9 is jogging with a reward shown on the user interface.
[0027] FIG. 11 illustrates system of FIG. 1 in use while the user
of FIG. 9 is playing basketball with an increased reward.
DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS
[0028] Illustrative embodiments are now discussed. Other
embodiments may be used in addition or instead. Details that may be
apparent or unnecessary may be omitted to save space or for a more
effective presentation. Conversely, some embodiments may be
practiced without all of the details that are disclosed.
[0029] FIG. 1 illustrates a system for encouraging a user to
perform substantial physical activity 100. As illustrated in FIG.
1, a system for encouraging a user to perform substantial physical
activity 100 may consist of a sensor module 101, a processing
system 200 and a second processing system 300. The components of
the system 100 may be configured to be worn or held in the hand of
the user and therefore may allow the user to participate in indoor
and outdoor physical activities such as sports and other
substantial physical activities.
[0030] The sensor module 101 may comprise a sensor or groups of
sensors 125, 130, 135. The sensor(s) 125, 130, 135 may be
configured to detect the magnitude of the physical activity in form
of health vectors.
[0031] As used herein, a health vector may be a quantifiable
snapshot of the person's physical and biological state as
determined by the data gathered by the sensors, and the information
extracted by the algorithms that process that data. A health vector
may contain various dimensions, of which each dimension may reveal
a quantifiable aspect of a person's overall health and provide the
magnitude of the physical activity of the user.
[0032] A health vector may contain the following magnitude of
physical activity in the form of Calories Burnt, Distance traveled,
Duration of Exercise, Duration spent outdoors and Duration spent
indoors. A health vector may be easily accommodated to add more
dimensions on a per need basis.
[0033] As shown in detail in FIG. 2 the sensor or group of sensors
125, 130, and 135 may include a 3 Axis Accelerometer 125, a
Gyroscope 130, and a GPS sensor 135. The sensor module 101 may also
include an on board microcontroller 140 and a communication
interface 110 which may act as a wireless communication interface
that may communicate information gathered by the sensor(s) 125, 130
and 135 to a processing system 200.
[0034] The sensor module may be in the form of a wearable device,
for example, a wrist watch, pendant or bracelet.
[0035] The processing system 200 may be a device with a
communication interface 220 of its own, a user interface 210 and an
on board microprocessor 230. The communication interface 220 of the
processing system 200 may receive the information gathered by the
sensor(s) 125, 130 and 135 of the sensor module 101. As used
herein, a processing system 200 may be any system capable of
receiving raw data regarding the physical and/or biological state
of the user.
[0036] The processing system 200 may also be capable of being held
in the hand of the user and may have the ability to receive the
information gathered by the sensor(s) 125, 130 and 135 of the
sensor module 101. Examples of a the hand held processing system
may include a cell phone, mp3 player, personal digital assistant
(PDA), hand held video game or hand held computer.
[0037] The processing system 200 microprocessor 230 may run
algorithms on the information gathered by the sensor(s) 125, 130
and 135 of the sensor module 101 to extract quantifiable dimensions
of health vector of the user. The microprocessor 230 may also run
various gesture algorithms that may identify the form of physical
activity the user is performing in real time.
[0038] Examples of physical gesture recognition algorithms that may
run on the physical sensor data may include various substantial
physical activities including sports, such as walking, running,
jumping and biking.
[0039] For example, the microprocessor 230 may run various gesture
algorithms to identify that the user is running, riding a bicycle,
swimming, jumping rope, playing basketball or other sports or
physical activities. This real time recognition may be fed into a
user interface 210 which may reward the user for participating in
substantial physical activity.
[0040] The user interface 210 may be an animated game with an
animated character that may respond to physical activity conducted
by the user, and base the animated character's daily health on the
level of physical activity of the user. If at any point in the game
the user neglects physical exercise, the game 210 may respond with
a negative feedback for the animated character, until ultimately
the animated character may abandon the user due to lack of physical
exercise. A health vector may be the standard form of information
that may be consumed within the game to determine the extent of in
game progress and/or rewards.
[0041] The user interface 210 may also correlate the actions of the
animated character on the gesture algorithms run by the
microprocessor 230. For example, if the user is jumping rope, the
microprocessor will identify this activity and the user interface
will generate an animated character that is also jumping rope.
[0042] Continued dedication to physical activity may be rewarded by
growing an in game economy that may be used to unlock new features
and enhancements for the animated characters.
[0043] Examples of rewards generated by the user interface 210 may
include animated games, featuring animated characters and animated
scenes; and reward points. The actions of the animated characters
may be correlated to the actions of the user participating in
substantial physical activity. New animated scenes and animated
characters may be added by the user interface as rewards for the
user participating in substantial physical activity. The animated
characters and animated scenes may be deleted based on a decrease
or lack of substantial user physical activity.
[0044] The system 100 may also include the ability to gather game
data and statistics of the game play, and communicate that data
and/or information to another processing system 300. The gathered
data and/or information can then be used by the users to create
visualizations and statistics of their own physical activities they
have performed while playing the game, and to measure those
activities.
[0045] As illustrated in FIG. 3, a sensor module 301 may include a
sensor or sensor(s) 120 that may be coupled with an on board
microprocessor 150 or a microcontroller 140 configured to directly
act on the data fed to it by the sensor(s) 120 by running
pre-defined algorithms. In this configuration, the task of
calculating the health vector and real time gesture recognition may
be offloaded from the microprocessor 230 on the processing system
200, and be fed directly into the user interface 210 through a
wired or wireless communication interface 110.
[0046] As illustrated in FIG. 4, a sensor module 401 may include
sensor(s) 120, which may be coupled to a removable storage media
160, which can store data gathered from the sensor(s) 120 and/or
also store health vector and gesture recognition information, the
later may be possible if the sensor(s) 120 are coupled to an on
board microprocessor 150 or a sophisticated microcontroller 140.
This may allow the sensor(s) 120 to have the ability to store such
information for a period of unspecified time and communicate the
information when needed through a wired or wireless communication
interface 110, allowing for offline operation instead of real time
operation of the system.
[0047] FIG. 5 illustrates a single processing system 500 for
encouraging a user to participate in substantial physical activity
that may be contained within the single processing system 500. This
processing system 500 may contain within it a sensor or array of
sensors 120, which may gather data of the physical and/or
biological state of the user. The processing system 500 may store
the data for later processing in a storage component 260, or use an
on-board microprocessor 230 to run pre-determined algorithms, and
then store in its storage component 260 the resulting health vector
and gesture recognition information for later use. The algorithms
running on the microprocessor 230 may be a part of a user interface
210 stored in the storage component 260 of the processing system
500, or may be a part of a separate suite within the processing
system 260. The microprocessor 230 may also run various algorithms
in real time. This real time recognition may be fed into the user
interface 210 to affect in the generate rewards on the user
interface 210 that may be based on the substantial physical
activity of the user. Alternatively, the information may be fed
delayed offline to the user interface 210 by accessing the
information from the storage 260 component of the processing system
500. The system 500 illustrated in FIG. 5 may also include the
ability to gather data and statistics of the, and communicate that
data and/or information to another processing system 300. The
gathered data and/or information may then be used by the users to
create visualizations and statistics of their own physical
activities they have performed, and to measure those activities.
The user's visualizations and statistics may also be used by
healthcare experts and counselors to better track the progress made
by the users towards reducing obesity, and to also suggest
improvements and alternate regimens, which may be programmable from
within the user interface 210.
[0048] FIG. 6 illustrates the use of any one of the systems for
encouraging a user's participation in significant physical activity
of FIG. 1 or FIG. 3, in which the user is shown wearing the sensor
module 101 and holding the processing system 200. As shown in FIG.
6, the user is stationary and the user interface generates an
animated character which is also shown on the display to be
stationary.
[0049] FIGS. 7 and 8 illustrate the use of any one of the systems
of FIGS. 1-5, in which the user is running and the user interface
generates a reward in the form of an animated character. The
actions of the animated character shown on the processing are shown
to be based on the user's physical movement, thereby providing a
reward to the user for participation in substantial physical
activity. The animated character generated by the user interface
may have characteristics different from those of any other animated
character used in any other system. The user interface may generate
an initial life-span 600 for the animated character, which may be
increase or reduced based on the physical activity of the user. The
life span 600 of the animated character may be increased based on
the user's increased participation in substantial physical activity
or the type of physical activity of the user. The life span of the
animated character may be decreased based on a decrease or lack of
participation in substantial physical activity of the user. The
user interface may also reward the user by generating animated
objects or gifts 601 for the animated character as illustrated in
FIG. 8. These object or gifts may be added or removed based on the
substantial physical activity of the user. The user interface may
also generate new animated games featuring new animated characters
and scenes based on the substantial physical activity of the
user.
[0050] FIG. 9 shows a user who has not participated in any physical
activity since using the systems as shown in FIGS. 1-5, and who has
not received any reward points by the processing system.
[0051] FIG. 10 shows the same user of FIG. 9 shown running and
viewing a user interface which provides a reward in the form of
animated character and points. FIG. 11 illustrates the user of
FIGS. 9 and 10 with an increased reward point tally based on
participating in more substantial physical activity.
[0052] It will be recognized by those skilled in the art that the
variations of the above-described sensors may readily be
manufactured with conventional techniques of the type typically
used in manufacturing sensor based solutions. Furthermore it is
recognized by those skilled in the art that the communication
interfaces of the wired and wireless type not restricted to the
ones mentioned can be easily integrated with the above described
configurations. It also will be recognized by those skilled in the
art that various other types of processing systems can be built
and, in addition, that numerous other changes can be made in the
hardware and software embodiments described herein without
departing from the scope and the spirit of the disclosed subject
matter.
[0053] The term "coupled" encompasses both direct and indirect
coupling. For example, the term "coupled" encompasses the presence
of intervening circuitry between two points that are coupled.
Nothing that has been stated or illustrated is intended to cause a
dedication of any component, step, feature, object, benefit,
advantage, or equivalent to the public, regardless of whether it is
recited in the claims. In short, the scope of protection is limited
solely by the claims that now follow. That scope is intended to be
as broad as is reasonably consistent with the language that is used
in the claims and to encompass all structural and functional
equivalents.
* * * * *