METHODS AND SYSTEMS FOR INTERACTIVE GOAL SETTING AND RECOMMENDER USING EVENTS HAVING COMBINED ACTIVITY AND LOCATION INFORMATION

• US 20130325404A1
• Filed: 08/05/2013
• Published: 12/05/2013
• 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 8,620,617 B2
• Time in Patent Office: Days
• US Class Current: 702/182
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• 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 2560/0456 Apparatus provided with a docking unit
• 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 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• 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: 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: G01C 22/006 Pedometers
• CPC Class Codes: G06F 11/00 Error detection; Error correction; Monitoring error detection, correction or monitoring in information storage based on relative movement between record carrier and transducer G11B20/18; monitoring, i.e. supervising the progress of recording or reproducing G11B27/36; in static stores G11C29/00
• CPC Class Codes: G06F 3/14 Digital output to display device ; Cooperation and interconnection of the display device with other functional units
• CPC Class Codes: G09B 19/00 : Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/125 : the stations being mobile
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A method for generating recommendations for achieving goals is described. The method includes receiving a goal for a user account. The goal is associated with an activity that is trackable via a monitoring device. The method further includes receiving tracking data associated with the monitoring device. At least part of the tracking data is associated to the activity. The method includes receiving geo-location data associated with the monitoring device. The geo-location data is correlated to the tracking data. The method includes analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity and generating a recommendation for the user account. The recommendation identifies the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

Claims

1. A method for generating recommendations for achieving goals, comprising,

receiving a goal for a user account, the goal being associated with an activity that is trackable via a monitoring device;

receiving tracking data associated with the monitoring device, at least part of the tracking data is associated to the activity;

receiving geo-location data associated with the monitoring device, the geo-location data being correlated to the tracking data;

analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity; and

generating a recommendation for the user account, the recommendation identifying the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

2. The method of claim 1, further comprising,

from time to time, analyzing the tracked data and geo-location data to compute when milestones for the goal are reached;

and

generating a reward for the user account upon reaching one or more of the milestones.

3. The method of claim 1, wherein the action and location is suggested based on examination of the geo-location data that is defined to facilitate the action so as to increase the current performance metric for the activity.

4. The method of claim 1, wherein producing the suggested action and location further comprises,

accessing a database of pre-associated actions and corresponding locations;

producing a plurality of candidate actions and locations;

identify the suggested action and location that is customized for the user account.

5. The method of claim 1, wherein the recommendation of the suggested action and location includes identifying an additional period of time to continue the activity so as to achieve the goal.

6. The method of claim 1, wherein the recommendation of the suggested action and location provides for suggestions to change a pattern of historical tracked actions to achieve the goal.

7. A method for generating recommendations for achieving goals, comprising,

receiving a goal for a user account, the goal being associated with an activity that is trackable via a monitoring device;

obtaining tracking data associated with the monitoring device, at least part of the tracking data is associated to the activity;

obtaining geo-location data associated with the monitoring device, the geo-location data being correlated to the tracking data;

analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity; and

generating a recommendation for the user account, the recommendation identifying the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

8. The method of claim 7, further comprising,

from time to time, analyzing the tracked data and geo-location data to compute when milestones for the goal are reached;

and

generating a reward for the user account upon reaching one or more of the milestones.

9. A method comprising:

receiving a goal associated with a first activity of a user and a first location of a monitoring device, the first activity performed when the user is using the monitoring device, the first location determined when the user is using the monitoring device;

determining whether a milestone to achieve the goal is reached, wherein determining whether the milestone is reached is based on an amount of the first activity performed by the user over a period of time; and

recommending a second location to be visited by the user and an amount of a second activity to be performed by the user at the second location to achieve the milestone upon determining that the milestone will not be reached, the method being executed by a processor.

10. The method of claim 9, wherein the second activity is the same as the first activity.

11. The method of claim 9, wherein the second location is the same as the first location.

12. The method of claim 9, wherein the second activity is different from the first activity.

13. The method of claim 9, wherein the second location is different from the first location.

14. The method of claim 9, wherein determining whether the milestone is reached is based on calorie information, the calorie information generated based on a location of an eating place at which the user has consumed food.

15. The method of claim 9, wherein recommending the second location includes adding a graphical element representing that the second location provides healthy food.

16. The method of claim 9, further comprising providing a computer-generated award to a user account of the user upon determining the milestone is reached.

17. The method of claim 9, wherein the goal is associated with a computer social network of the user or an advertiser.

18. The method of claim 9, wherein the second location determined based on the first activity and a distance between the first location and the second location, wherein the second activity is determined based on a distance between the first location and the second location.

19. The method of claim 9, wherein determining whether the milestone is reached is based on step information, or distance information, or stairs information,

wherein such information is generated at least in part based on a location of the user.

20. A method comprising:

receiving a goal associated with a first activity of a user and a first location of a monitoring device, the first activity performed when the user is using the monitoring device, the first location determined when the user is using the monitoring device;

determining whether the goal has a reduced likelihood of being completed, wherein determining whether the goal has the reduced likelihood is based on an amount of the first activity performed by the user; and

recommending a second location to be visited by the user to achieve the goal upon determining that the goal has the reduced likelihood of being completed.

21. The method of claim 20, further comprising recommending an amount of a second activity to be performed by the user, wherein the second activity is the same as the first activity.

22. The method of claim 20, wherein the second location is the same as the first location.

23. The method of claim 20, further comprising recommending an amount of a second activity to be performed by the user, wherein the second activity is different from the first activity.

24. The method of claim 20, wherein the second location is different from the first location.

25. The method of claim 20, wherein recommending the second location includes adding a graphical element representing that the second location provides healthy food.

26. The method of claim 20, further comprising:

determining whether the goal is reached; and

providing a computer-generated award to a user account of the user upon determining the goal is reached.

27. The method of claim 20, wherein the goal is associated with a computer social network of the user or an advertiser.

28. The method of claim 20, further comprising recommending an amount of a second activity to be performed by the user, wherein the second location determined based on the first activity and a distance between the first location and the second location, wherein the second activity is determined based on a distance between the first location and the second location.

29. The method of claim 20, wherein the monitoring device is wearable by a user.