Methods and systems for interactive goal setting and recommender using events having combined activity and location information

• US 9,081,534 B2
• Filed: 10/22/2013
• Issued: 07/14/2015
• 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
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US14/059,919
• Publication Number:
  US 20140052280A1
• Time in Patent Office: 630 Days
• Field of Search: 702/160, 702150-155, 702182-185, 702/188
• US Class Current: 1/1
• 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 comprising:

identifying a goal for an activity of a user associated with a monitoring device, the monitoring device having a screen;

obtaining a first geo-location of the monitoring device;

obtaining activity data of the monitoring device;

determining whether the goal has a likelihood of being achieved based on the obtained first geo-location and the activity data; and

displaying a recommendation on the screen of the monitoring device, the recommendation identifying a second geo-location that will increase the likelihood of achieving the goal.

2. The method of claim 1, wherein the first geo-location is used to generate a first location and the second geo-location is used to generate a second location, the second location different from the first location.

3. The method of claim 1, wherein the first geo-location is associated with an activity different from an activity with which the second geo-location is associated.

4. The method of claim 1, wherein the goal includes one or more milestones for achieving the goal, wherein the goal is generated by a processor or received from the user.

5. The method of claim 1, wherein the activity includes walking, or running, or jogging, or sleeping, or being sedentary, or doing yoga, or exercising, or climbing steps, or descending steps.

6. The method of claim 1, wherein the user is wearing the monitoring device or is carrying the monitoring device.

7. The method of claim 1, wherein the geo-location includes include a latitude of the monitoring device, or a longitude of the monitoring device, or an altitude of the monitoring device, or a combination thereof.

8. The method of claim 1, wherein the activity data 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 a user, or a weight lost by a 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 during walking or running, or a number of floors descended by the user, or a number of floors climbed by the user, or a number of rotations of a bicycle pedal rotated by the user, or sedentary activity data of the user, or a distance covered by the user during walking, running, or driving a vehicle, or a number of golf swings taken by the user, or a number of forehands of a sport played by the user, or a number of backhands of a sport played by the user, or a combination thereof.

9. The method of claim 1, wherein determining whether the goal has a likelihood of being achieved based on the obtained first geo-location comprises:

determining whether the user will be able to perform the activity at the first geo-location to achieve a total activity level in a time period;

determining that the goal does not have the likelihood of being achieved in response to determining that the user will be unable to perform the activity at the first geo-location to achieve the total activity level in the time period; and

determining that the goal has the likelihood of being achieved in response to determining that the user will be able to perform the activity at the first geo-location to achieve the total activity level in the time period.

10. The method of claim 1, wherein the first geo-location is used to generate a first location and the second geo-location is used to generate a second location, the second location different from the first location, the second location within a pre-determined distance from the first location.

11. A method comprising:

identifying a goal for a number of activities of a user associated with a monitoring device;

obtaining a first geo-location of the monitoring device;

obtaining activity data of the monitoring device;

aggregating the activity data for a total amount of time for which the number of activities is performed at the first geo-location;

determining whether the user has achieved a goal based on the aggregated activity data; and

generating a recommendation identifying a second geo-location to provide to the user upon determining that the user has not achieved the goal.

12. The method of claim 11, wherein the first geo-location is used to generate a first location and the second geo-location is used to generate a second location, the second location different from the first location, the second location within a pre-determined distance from the first location.

13. The method of claim 11, wherein the first geo-location is associated with an activity different from an activity with which the second geo-location is associated.

14. The method of claim 11, wherein aggregating the activity data for the total amount of time for which the number of activities is performed at the first geo-location comprises adding activity levels for different time periods for which the number of activities is performed at the first geo-location, the different time periods summed to provide the total amount of time.

15. The method of claim 11, wherein determining whether the user has achieved the goal based on the aggregated activity data comprises:

calculating a sum of activity levels of the activities performed by the user at the first geo-location;

determining whether the sum is equal to an activity level associated with the goal;

determining that the user has not achieved the goal in response to determining that the sum is less than the activity level associated with the goal; and

determining that the user has achieved the goal in response to determining that the sum is greater than the activity level associated with the goal.

16. The method of claim 11, wherein the recommendation includes an identification of a location that includes the second geo-location.

17. The method of claim 11, wherein the recommendation includes an activity to be performed by the user at the second geo-location.

18. A method comprising:

identifying a goal for an activity of a user associated with a monitoring device, the monitoring device having a screen;

obtaining a first geo-location of the monitoring device;

obtaining activity data of the monitoring device;

determining whether the goal has a likelihood of being achieved based on the obtained first geo-location and the activity data; and

sending for display a sponsored recommendation on the screen of the monitoring device, the sponsored recommendation identifying a second geo-location that will increase the likelihood of achieving the goal.

19. The method of claim 18, wherein the first geo-location is used to generate a first location and the second geo-location is used to generate a second location, the second location different from the first location.

20. The method of claim 18, wherein the first geo-location is associated with an activity different from an activity with which the second geo-location is associated.

21. The method of claim 18, wherein the sponsored recommendation includes an advertisement of a location, an advertisement of an activity, or a combination of an advertisement of an activity and an advertisement of a location.

22. The method of claim 18, wherein determining whether the goal has a likelihood of being achieved based on the obtained first geo-location comprises:

determining whether the user will be able to perform the activity at the first geo-location to achieve a total activity level in a time period;

determining that the goal does not have the likelihood of being achieved in response to determining that the user will be unable to perform the activity at the first geo-location to achieve the total activity level in the time period; and

determining that the goal has the likelihood of being achieved in response to determining that the user will be able to perform the activity at the first geo-location to achieve the total activity level in the time period.