Methods and Systems for Processing Social Interactive Data and Sharing of Tracked Activity Associated with Locations

• US 20140336980A1
• Filed: 07/30/2014
• Published: 11/13/2014
• 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 9,215,290 B2
• Time in Patent Office: Days
• US Class Current: 702/150
• 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 a geo-location associated with a first monitoring device;

receiving a geo-location associated with a second monitoring device;

receiving activity data measured by the first monitoring device;

receiving activity data measured by the second monitoring device;

determining an activity performed during use of the first monitoring device based on the activity data measured by the first monitoring device and the geo-location associated with the first monitoring device;

determining an activity performed during use of the second monitoring device based on the activity data measured by the second monitoring device and the geo-location associated with the second monitoring device;

determining whether the first and second geo-locations are within a threshold distance from each other;

determining whether the activity performed during use of the second monitoring device is similar to the activity performed during use of the first monitoring device; and

producing data to allow a user account associated with the second monitoring device to access the activity data measured by the first monitoring device, wherein producing the data is performed upon determining that the first and second geo-locations are within the threshold distance from each other and the activity performed using the first monitoring device is similar to the activity performed using the second monitoring device; and

sending the data to the second monitoring device, the data indicating that the first monitoring device is performing the similar activity and is within the threshold distance from the second monitoring device,

wherein the method is executed by a processor.

2. The method of claim 1, wherein determining the activity performed during use of the first monitoring device based on the activity data measured by the first monitoring device and the geo-location associated with the first monitoring device comprises:

determining whether the activity data exceeds a limit;

determining that an activity is performed upon determining that the activity exceeds the limit;

determining whether the activity that is determined based on the limit is consistent with the geo-location; and

determining that the activity that is determined based on the limit is the activity performed during use of the first monitoring device upon determining that the activity that is determined based on the limit is consistent with the geo-location.

3. The method of claim 1, wherein the activity performed during use of the first monitoring device is an activity that is performed while a user is using the first monitoring device, wherein the activity performed during use of the second monitoring device is an activity that is performed while a user is using the second monitoring device.

4. The method of claim 1, wherein determining whether the activity performed during use of the second monitoring device is similar to the activity performed during use of the first monitoring device comprises determining whether a combined activity level measured over a time period by the first monitoring device is within a pre-determined range of a combined activity level measured over the time period by the second monitoring device.

5. The method of claim 1, wherein the geo-location associated with the first monitoring device includes a latitude of the first monitoring device and a longitude of the first monitoring device, wherein the geo-location associated with the second monitoring device includes a latitude of the second monitoring device and a longitude of the second monitoring device.

6. The method of claim 1, wherein the geo-location associated with the first monitoring device is measured by the first monitoring device, wherein the geo-location associated with the second monitoring device is measured by the second monitoring device.

7. The method of claim 1, wherein the geo-location associated with the first monitoring device is measured by a computing device, wherein the geo-location associated with the second monitoring device is measured by another computing device.

8. The method of claim 1, wherein the activity data measured by the first monitoring device includes a number of calories burned by a user, or a blood pressure of the user, or a heart rate of the user, or a weight gained by the user, or a weight lost by the user, or a number of stairs ascended by the user, or a number of stairs descended by the user, or a number of steps taken by the user, or a number of floors ascended by the user, or a number of floors descended by the user.

9. The method of claim 1, wherein the activity data measured by the second monitoring device includes a number of calories burned by a user, or a blood pressure of the user, or a heart rate of the user, or a weight gained by the user, or a weight lost by the user, or a number of stairs ascended by the user, or a number of stairs descended by the user, or a number of steps taken by the user, or a number of floors ascended by the user, or a number of floors descended by the user.

10. The method of claim 1, wherein the activity includes walking, or running, or jogging, or swimming, or resistance training, or rock climbing, or skiing, or snowboarding, or hiking, or skating, or rollerblading.

11. The method of claim 1, wherein the user account associated with the second monitoring device is accessed by a user when information regarding the user provided by the user is authenticated.

12. The method of claim 1, wherein the first monitoring device is wearable by a user.

13. The method of claim 1, wherein the first monitoring device is a wristwatch, or a wristband, or a bracelet.

14. A method comprising:

receiving a geo-location associated with a first monitoring device;

receiving a geo-location associated with a second monitoring device;

determining a location of the first monitoring device based on the geo-location associated with the first monitoring device and a level of an activity performed using the first monitoring device;

determining a location of the second monitoring device based on the geo-location associated with the second monitoring device and a level of an activity performed using the second monitoring device;

determining whether the location of the first monitoring device is within a threshold distance of the location of the second monitoring device;

generating data to allow the second monitoring device to access an activity level measured using the first monitoring device upon determining that the location of the first monitoring device is within the threshold distance of the location of the second monitoring device; and

sending the data to the second monitoring device such that the second monitoring device indicates the activity level measured using the first monitoring device,

wherein the method is executed by a processor.

15. The method of claim 14, wherein determining the location of the second monitoring device based on the geo-location associated with the second monitoring device and the level of the activity performed using the second monitoring device comprises:

identifying the location based on the geo-location;

determining whether the level of the activity performed using the second monitoring device exceeds a limit;

determining that the activity is performed upon determining that the level of the activity performed using the second monitoring device exceeds the limit;

determining whether the activity that is determined based on the limit is consistent with the location that is identified; and

determining the location of the second monitoring device upon determining that the activity that is determined based on the limit is consistent with the location that is identified.

16. The method of claim 14, wherein the geo-location associated with the first monitoring device includes a latitude of the first monitoring device and a longitude of the first monitoring device, wherein the geo-location associated with the second monitoring device includes a latitude of the second monitoring device and a longitude of the second monitoring device.

17. The method of claim 14, wherein the geo-location associated with the first monitoring device is measured by the first monitoring device, wherein the geo-location associated with the second monitoring device is measured by the second monitoring device.

18. The method of claim 14, wherein the geo-location associated with the first monitoring device is measured by a computing device, wherein the geo-location associated with the second monitoring device is measured by the computing device.

19. The method of claim 14, wherein the level of the activity performed using the second monitoring device includes a number of calories burned by a user, or a blood pressure of the user, or a heart rate of the user, or a weight gained by the user, or a weight lost by the user, or a number of stairs ascended by the user, or a number of stairs descended by the user, or a number of steps taken by the user, or a number of floors ascended by the user, or a number of floors descended by the user.

20. The method of claim 14, wherein the activity includes walking, or running, or jogging, or swimming, or resistance training, or rock climbing, or skiing, or snowboarding, or hiking, or skating, or rollerblading.

21. A method comprising:

receiving a geo-location from a computing device;

measuring activity data of an activity performed by a user;

providing the activity data to a server; and

receiving prompt data to allow a user account to access the activity data,

wherein the prompt data is generated based on a determination that the geo-location and a geo-location of a monitoring device is within a threshold distance from each other and upon determining that the activity is similar to an activity performed using the monitoring device,

wherein the method is performed by a processor.

22. The method of claim 21, wherein determining whether the activity performed by the user is similar to the activity performed using the monitoring device comprises determining whether a combined activity level measured over a time period by the monitoring device is within a pre-determined range of a combined activity level measured over the time period by another monitoring device.

23. The method of claim 21, wherein providing the activity data to the server comprises sending the activity data via a computer network to the server.

24. The method of claim 21, wherein the computing device includes a smart phone, or a watch connected to a computer network, or a tablet, or a laptop, or a desktop, or a smart television.

25. The method of claim 21, wherein the access to the activity data is provided to display the activity data on a display device.

26. The method of claim 21, wherein the user account is accessed when information regarding a user provided by the user is authenticated.

27. The method of claim 21, wherein the geo-location includes a latitude and a longitude.

28. A method comprising:

measuring a first activity level of an activity performed by a user;

receiving a first geo-location; and

receiving prompt data to allow access to the first activity level,

wherein the prompt data is generated upon determining that a first location is within a threshold distance of a second location of a monitoring device, the first location determined based on the first geo-location and the first activity level, the second location determined based on a second geo-location of the monitoring device and a second activity level measured by the monitoring device.

29. The method of claim 28, wherein determination of the first location based on the first geo-location and the first activity level comprises:

identifying the first location based on the first geo-location;

determining whether the first activity level exceeds a limit;

determining that the activity is performed upon determining that the first activity level exceeds the limit;

determining whether the activity that is determined based on the limit is consistent with the first location that is identified; and

determining the first location upon determining that the activity that is determined based on the limit is consistent with the first location that is identified.

30. The method of claim 28, wherein the monitoring device is wearable by a user.