IDENTIFYING AVAILABLE EXERCISES FOR CUSTOMIZING AN EXERCISE SESSION

• US 20140280219A1
• Filed: 03/10/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: FitStar, Inc. (Alphabet Inc.)
• Inventors: Maser, Mike, Grijalva, Dave
• Granted Patent: US 9,691,428 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: A63B 2024/0081 Coaching or training aspects related to a group of users
• 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: G06F 16/24 Querying
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/739 in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
• CPC Class Codes: G09B 19/0038 Sports
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence

Abstract

System, apparatuses, and methods can provide customized exercise sessions and customized videos corresponding to the exercise session. Exercise components that are available to a user for an exercise category can be determined based on a user rank in the category and a rank of the components in the category. Certain available components can be selected to include in a customized session.

Claims

1. A method of customizing an exercise session for a user, the method comprising:

identifying a plurality of components, each component corresponding to a respective physical exercise and associated with one of a plurality of categories;

assigning a difficulty rank to each component;

receiving user feedback from the user about physical activity;

for each of the plurality of categories;

determining, by a computer system, a category user rank for the user based on the user feedback; and

identifying, by the computer system, a respective set of components having a difficulty rank within a specified range of the category user rank as being available to determine an exercise session;

using the identified sets of components to create an exercise session composed of a plurality of available components; and

providing the exercise session to the user.

2. The method of claim 1, wherein determining a category user rank includes:

receiving an initial user rank;

receiving user feedback about a first component that the user has performed, the first component having a first difficulty rank; and

changing the initial user rank based on the user feedback, the initial user rank, and the first difficulty rank.

3. The method of claim 2, further comprising:

calculating a predicted score for the performance of the user against the first component based on the initial user rank and the first difficulty rank;

calculating a user score for the performance of the user against the first component based on the user feedback; and

comparing the predicted score to the user score to determine a change in the initial user rank.

4. The method of claim 3, further comprising:

determining a winning stake and a losing stake based on the initial user rank and the first difficulty rank; and

calculating an outcome score that specifies a percentage of the winning stake or the losing stake to use in changing the initial user rank.

5. The method of claim 1, wherein assigning a difficulty rank to a first component includes:

receiving user ranks for a plurality of users that have performed the first component;

receiving user feedback about the plurality of users performing the first component; and

changing the first difficulty rank based on the user feedback and the user ranks.

6. The method of claim 1, wherein the user feedback includes a level of completion of one or more components.

7. The method of claim 1, wherein the user feedback includes responses to a questionnaire.

8. The method of claim 1, wherein the user feedback includes sensor data from a device that measures the user'"'"'s body and/or motion of the user'"'"'s body.

9. The method of claim 8, wherein the sensor data is obtained while the user is performing a component.

10. The method of claim 1, wherein the plurality of categories correspond to different parts of a body.

11. The method of claim 1, wherein the components in the exercise session are arranged in a particular order.

12. The method of claim 1, wherein the specified range for a first category is offset from the category user rank.

13. A computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed control a computer system to customize an exercise session for a user, the instructions comprising:

identifying a plurality of components, each component corresponding to a respective physical exercise and associated with one of a plurality of categories;

assigning a difficulty rank to each component;

receiving user feedback from the user about physical activity;

for each of the plurality of categories;

determining a category user rank for the user based on the user feedback; and

identifying, by the computer system, a respective set of components having a difficulty rank within a specified range of the category user rank as being available to determine an exercise session;

using the identified sets of components to create an exercise session composed of a plurality of available components; and

providing the exercise session to the user.

14. The computer product of claim 13, wherein determining a category user rank includes:

receiving an initial user rank;

receiving user feedback about a first component that the user has performed, the first component having a first difficulty rank; and

changing the initial user rank based on the user feedback, the initial user rank, and the first difficulty rank.

15. The computer product of claim 14, wherein the instructions further comprise:

calculating a predicted score for the performance of the user against the first component based on the initial user rank and the first difficulty rank;

calculating a user score for the performance of the user against the first component based on the user feedback; and

comparing the predicted score to the user score to determine a change in the initial user rank.

16. The computer product of claim 15, wherein the instructions further comprise:

determining a winning stake and a losing stake based on the initial user rank and the first difficulty rank; and

calculating an outcome score that specifies a percentage of the winning stake or the losing stake to use in changing the initial user rank.

17. The computer product of claim 13, wherein assigning a difficulty rank to a first component includes:

receiving user ranks for a plurality of users that have performed the first component;

receiving user feedback about the plurality of users performing the first component; and

changing the first difficulty rank based on the user feedback and the user ranks.

18. The computer product of claim 13, wherein the user feedback includes a level of completion of one or more components.

19. The computer product of claim 13, wherein the user feedback includes sensor data from a device that measures the user'"'"'s body and/or motion of the user'"'"'s body.

20. The computer product of claim 13, wherein the specified range for a first category is offset from the category user rank.