Methods And Systems For Processing Social Interactive Data And Sharing Of Tracked Activity Associated With Locations

• US 20160332030A1
• Filed: 07/22/2016
• Published: 11/17/2016
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Yuen, Shelten Gee Jao, Park, James, Lee, Hans Christiansen
• Granted Patent: US 9,669,262 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7278 : Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/744 : Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: A63B 2024/0068 : Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2220/14 : Geo-tagging, e.g. for correlating route or track location data with specific information related to that specific location
• CPC Class Codes: A63B 2220/72 : Temperature
• CPC Class Codes: A63B 2220/73 : Altitude
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• CPC Class Codes: A63B 2230/50 : temperature
• CPC Class Codes: A63B 2230/70 : body fat
• CPC Class Codes: A63B 2230/75 : calorie expenditure
• CPC Class Codes: A63B 24/0062 : Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 24/0075 : Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: A63B 71/0686 : Timers, rhythm indicators or pacing apparatus using electric or electronic means
• CPC Class Codes: G01C 21/20 : Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01C 22/006 : Pedometers
• CPC Class Codes: G01C 23/00 : Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration
• CPC Class Codes: G01P 13/00 : Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G06F 15/00 : Digital computers in general details G06F1/00 – G06F13/00; Data processing equipment in general
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: H04W 4/023 : using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

Claims

1. A method comprising:

receiving via a network interface controller a first geo-location of a first monitoring device, the first monitoring device configured to be worn by a first user;

receiving via the network interface controller a second geo-location of a second monitoring device, the second monitoring device configured to be worn by a second user;

receiving via the network interface controller a first plurality of activity levels from the first monitoring device, the first plurality of activity levels generated when the first user performs one or more motions;

receiving, via the network interface controller a second plurality of activity levels from the second monitoring device, the second plurality of activity levels generated when the second user performs one or more motions;

determining that the first geo-location is within a threshold distance from the second geo-location;

determining an activity performed by the first user based on the first plurality of activity levels;

determining an activity performed by the second user based on the second plurality of activity levels;

determining that the activity performed by the first user is similar to the activity performed by the second user;

obtaining via the network interface controller social data that indicates that the first user is a social network friend of the second user; and

sending information regarding the activity performed by the first user to a user account of the second user in response to obtaining the social data indicating that the first user is the social network friend of the second user.

2. The method of claim 1, wherein determining the activity performed by the first user is further based on the first geo-location.

3. The method of claim 1, wherein determining that the activity performed by the first user is similar to the activity performed by the second user comprises determining that the activity performed by the first user is the same as the activity performed by the second user.

4. The method of claim 1, further comprising:

aggregating activity levels of the first plurality over a time period to generate a first aggregated activity level;

aggregating activity levels of the second plurality over the time period to generate a second aggregated activity level; and

determining that the first aggregated activity level is within a pre-determined range from the second aggregated activity level, wherein determining that the activity performed by the first user is similar to the activity performed by the second user is performed in response to determining that the first aggregated activity level is within the pre-determined range from the second aggregated activity level.

5. The method of claim 1, further comprising:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user upon determining that the statistical activity level is less than the activity level threshold.

6. The method of claim 1, further comprising:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform the activity performed by the first user at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

7. The method of claim 1, further comprising:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user and to perform the different activity at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

8. The method of claim 1, wherein the information regarding the activity includes the first plurality of activity levels, or an activity identifier that identifies the activity performed by the first user, or a location identifier that identifies the first geo-location, or a combination thereof.

9. A system comprising:

a first monitoring device configured to be worn by a first user, the first monitoring device including;

a first device locator configured to measure a first geo-location of the first monitoring device; and

one or more sensors coupled to the first device locator, the one or more sensors of the first monitoring device configured to measure a first plurality of activity levels when the first user performs one or more motions, the first geo-location for sending to a server via a computer network, the first plurality of activity levels for sending to the server via the computer network to facilitate a determination of an activity performed by the first user; and

a second monitoring device configured to be worn by a second user, the second monitoring device including;

a second device locator configured to measure a second geo-location of the second monitoring device; and

one or more sensors coupled to the second device locator, the one or more sensors of the second monitoring device configured to measure a second plurality of activity levels when the second user performs one or more motions, the second geo-location for sending to the server via the computer network to facilitate a determination that the second geo-location is within a threshold distance from the first geo-location, the second plurality of activity levels for sending to the server via the computer network to facilitate a determination of an activity performed by the second user and to further facilitate a determination that the activity performed by the first user is similar to the activity performed by the second user,

the second monitoring device configured to receive information regarding the activity performed by the first user based on a determination that the first user is a social network friend of the second user.

10. The system of claim 9, wherein the activity performed by the first user is determined based on the first geo-location.

11. The system of claim 9, wherein the determination that the activity performed by the first user is similar to the activity performed by the second user includes a determination that the activity performed by the first user is the same as the activity performed by the second user.

12. The system of claim 9, wherein the information regarding the activity includes the first plurality of activity levels, or an activity identifier that identifies the activity performed by the first user, or a location identifier that identifies the first geo-location, or a combination thereof.

13. The system of claim 9, wherein the first monitoring device is a watch, or a wristband, or a bracelet.

14. The system of claim 9, wherein the second monitoring device is a watch, or a wristband, or a bracelet.

15. A system comprising:

a first monitoring device configured to be worn by a first user, the first monitoring device including;

a first device locator configured to measure a first geo-location of the first monitoring device; and

one or more sensors coupled to the first device locator, wherein the one or more sensors of the first monitoring device are configured to measure a first plurality of activity levels when the first user performs one or more motions;

a second monitoring device configured to be worn by a second user, the second monitoring device including;

a second device locator configured to measure a second geo-location of the second monitoring device; and

one or more sensors coupled to the second device locator, wherein the one or more sensors of the second monitoring device are configured to measure a second plurality of activity levels when the second user performs one or more motions; and

a server coupled to the first monitoring device and the second monitoring device via a computer network, wherein the server is configured to;

receive the first geo-location and the first plurality of activity levels;

receive the second geo-location and the second plurality of activity levels;

determine that the first geo-location is within a threshold distance from the second geo-location;

determine an activity performed by the first user based on the first plurality of activity levels;

determine an activity performed by the second user based on the second plurality of activity levels;

determine that the activity performed by the first user is similar to the activity performed by the second user;

obtain social data that indicates that the first user is a social network friend of the second user; and

send information regarding the activity performed by the first user to a user account of the second user in response to obtaining the social data indicating that the first user is the social network friend of the second user.

16. The system of claim 15, wherein the server is configured to determine the activity performed by the first user further based on the first geo-location.

17. The system of claim 15, wherein to determine that the activity performed by the first user is similar to the activity performed by the second user, the server is configured to determine that the activity performed by the first user is the same as the activity performed by the second user.

18. The system of claim 15, wherein the server is configured to:

aggregate activity levels of the first plurality over a time period to generate a first aggregated activity level;

aggregate activity levels of the second plurality over the time period to generate a second aggregated activity level; and

determine that the first aggregated activity level is within a pre-determined range from the second aggregated activity level to determine that the activity performed by the first user is similar to the activity performed by the second user.

19. The system of claim 15, wherein the server is configured to:

generate a statistical activity level from the activity levels of the first plurality;

determine that the statistical activity level is less than an activity level threshold; and

send a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user upon determining that the statistical activity level is less than the activity level threshold.

20. The system of claim 15, wherein the server is configured to:

generate a statistical activity level from the activity levels of the first plurality;

determine that the statistical activity level is less than an activity level threshold; and

send a recommendation to the first monitoring device to perform the activity at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

21. The system of claim 15, wherein the server is configured to:

generate a statistical activity level from the activity levels of the first plurality;

determine that the statistical activity level is less than an activity level threshold; and

send a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user and to perform the different activity at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

22. The system of claim 15, wherein the information regarding the activity includes the first plurality of activity levels, or an activity identifier that identifies the activity performed by the first user, or a location identifier that identifies the first geo-location, or a combination thereof.

23. A non-transitory computer readable medium containing program instructions, wherein execution of the program instructions by one or more processors of a computer system causes the one or more processors to carry out operations of:

receiving via a network interface controller a first geo-location of a first monitoring device, the first monitoring device configured to be worn by a first user;

receiving via the network interface controller a second geo-location of a second monitoring device, the second monitoring device configured to be worn by a second user;

receiving via the network interface controller a first plurality of activity levels from the first monitoring device, the first plurality of activity levels generated when the first user performs one or more motions;

receiving, via the network interface controller a second plurality of activity levels from the second monitoring device, the second plurality of activity levels generated when the second user performs one or more motions;

determining that the first geo-location is within a threshold distance from the second geo-location;

determining an activity performed by the first user based on the first plurality of activity levels;

determining an activity performed by the second user based on the second plurality of activity levels;

determining that the activity performed by the first user is similar to the activity performed by the second user;

obtaining via the network interface controller social data that indicates that the first user is a social network friend of the second user; and

sending information regarding the activity performed by the first user to a user account of the second user in response to obtaining the social data indicating that the first user is the social network friend of the second user.

24. The non-transitory computer readable medium of claim 23, wherein determining the activity performed by the first user is further based on the first geo-location.

25. The non-transitory computer readable of claim 23, wherein determining that the activity performed by the first user is similar to the activity performed by the second user comprises determining that the activity performed by the first user is the same as the activity performed by the second user.

26. The non-transitory computer readable of claim 23, wherein the operations further comprise:

aggregating activity levels of the first plurality over a time period to generate a first aggregated activity level;

aggregating activity levels of the second plurality over the time period to generate a second aggregated activity level; and

determining that the first aggregated activity level is within a pre-determined range from the second aggregated activity level, wherein determining that the activity performed by the first user is similar to the activity performed by the second user is performed in response to determining that the first aggregated activity level is within the pre-determined range from the second aggregated activity level.

27. The non-transitory computer readable of claim 23, wherein the operations further comprise:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user upon determining that the statistical activity level is less than the activity level threshold.

28. The non-transitory computer readable of claim 23, wherein the operations further comprise:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform the activity performed by the first user at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

29. The non-transitory computer readable of claim 23, wherein the operations further comprise:

generating a statistical activity level from the activity levels of the first plurality;

determining that the statistical activity level is less than an activity level threshold; and

sending a recommendation to the first monitoring device to perform a different activity than the activity performed by the first user and to perform the different activity at a different location than a location associated with the first geo-location upon determining that the statistical activity level is less than the activity level threshold.

30. The non-transitory computer readable of claim 23, wherein the information regarding the activity includes the first plurality of activity levels, or an activity identifier that identifies the activity performed by the first user, or a location identifier that identifies the first geo-location, or a combination thereof.