Cognitive system to improve athletic performance with motivation from different training styles

• US 10,276,053 B2
• Filed: 01/27/2016
• Issued: 04/30/2019
• Est. Priority Date: 01/27/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Briggs, Benjamin D., Clevenger, Lawrence A., Clevenger, Leigh Anne H., Connell, II, Jonathan H., Ratha, Nalini K., Rizzolo, Michael
• Primary Examiner(s): Bullington, Robert P
• Application Number:
  US15/008,028
• Publication Number:
  US 20170213470A1
• Time in Patent Office: 1,189 Days
• Field of Search: 434247
• CPC Class Codes: A61B 2560/0247 for compensation or correction of the measured physiological value
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: G09B 19/0038 Sports
• CPC Class Codes: G09B 5/125 the stations being mobile

Abstract

Techniques for motivating a user during a workout using different coaching styles are provided. In one aspect, a method for motivational coaching of a user during workout sessions includes the steps of: selecting a coaching style for the user based on input from the user and from coaching styles used for at least one other user; determining, during a workout session, whether the coaching style should be changed to enhance performance of the user based on data obtained from the user via a mobile device worn by the user; changing the coaching style if it is determined that the coaching style should be changed to enhance performance of the user; continuing with a current coaching style if it is determined that the coaching style should not be changed; and providing feedback to the user during the workout session based on the coaching style.

Claims

1. A method for motivational coaching of a user during workout sessions, the method comprising the steps of:

selecting a coaching style for the user based on input from the user and from coaching styles used for at least one other user;

querying the user as to whether the user approves of the coaching style selected for the user;

selecting a different coaching style if the user disapproves of the coaching style selected for the user;

determining, during a workout session, whether the coaching style should be changed to enhance performance of the user based on data obtained from the user via a mobile device worn by the user, wherein the mobile device worn by the user comprises at least an electrodermal activity (EDA) sensor that collects the data from the user in real-time indicating a level of stress of the user, and an accelerometer and a gyroscope sensor that collect the data from the user in real-time indicating movement of the user, wherein the level of stress of the user and the movement of the user are factors that affect the performance of the user and whether the coaching style should be changed to enhance the performance of the user;

changing the coaching style if it is determined that the coaching style should be changed to enhance the performance of the user;

continuing with the coaching style if it is determined that the coaching style should not be changed; and

providing feedback to the user during the workout session based on the coaching style.

2. The method of claim 1, wherein the mobile device worn by the user comprises a smartwatch.

3. The method of claim 1, wherein the feedback is provided to the user via the mobile device worn by the user.

4. The method of claim 1, wherein the data obtained from the user via the mobile device worn by the user further comprises sensor data selected from the group consisting of:

a temperature of the user, sleep data from the user, user movement data, and combinations thereof.

5. The method of claim 1, wherein the data obtained from the user via the mobile device worn by the user further comprises environmental data selected from the group consisting of:

outside temperature, humidity, wind speed, and combinations thereof.

6. The method of claim 1, further comprising the steps of:

obtaining the data from the user at a beginning of the workout session via the mobile device worn by the user;

performing a weighted evaluation of the factors that affect the performance of the user; and

changing the coaching style for a single workout session based on the weighted evaluation.

7. The method of claim 1, further comprising the step of:

comparing health and fitness of the user to health and fitness data of the at least one other user to determine the coaching style for the user.

8. The method of claim 1, further comprising the step of:

obtaining updated data from the user; and

selecting the different coaching style based on the updated data obtained from the user.

9. The method of claim 1, further comprising the step of:

selecting the different coaching style randomly.

10. The method of claim 1, further comprising the step of:

setting a limit on a number of attempts to select the different coaching style.

11. The method of claim 10, further comprising the step of:

defaulting to the coaching style once the limit has been reached.

12. The method of claim 1, wherein the input from the user comprises at least one of a fitness goal of the user, and a current fitness level.

13. The method of claim 1, further comprising the step of:

querying the user as to whether a change in the coaching style is needed to have an effective workout.

14. A computer program product for motivational coaching of a user during workout sessions, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

select a coaching style for the user based on input from the user and from coaching styles used for at least one other user;

query the user as to whether the user approves of the coaching style selected for the user;

select a different coaching style if the user disapproves of the coaching style selected for the user;

determine, during a workout session, whether the coaching style should be changed to enhance performance of the user based on data obtained from the user via a mobile device worn by the user, wherein the mobile device worn by the user comprises at least an EDA sensor that collects the data from the user in real-time indicating a level of stress of the user, and an accelerometer and a gyroscope sensor that collect the data from the user in real-time indicating movement of the user, wherein the level of stress of the user and the movement of the user are factors that affect the performance of the user and whether the coaching style should be changed to enhance the performance of the user;

change the coaching style if it is determined that the coaching style should be changed to enhance the performance of the user;

continuing with the coaching style if it is determined that the coaching style should not be changed; and

provide feedback to the user during the workout session based on the coaching style.

15. The computer program product of claim 14, wherein the mobile device worn by the user comprises a smartwatch.

16. The computer program product of claim 14, wherein the data obtained from the user via the mobile device worn by the user further comprises sensor data selected from the group consisting of:

a temperature of the user, sleep data from the user, user movement data, and combinations thereof.

17. The computer program product of claim 14, wherein the data obtained from the user via the mobile device worn by the user further comprises environmental data selected from the group consisting of:

outside temperature, humidity, wind speed, and combinations thereof.

18. The computer program product of claim 14, wherein the program instructions further cause the computer to:

obtain the data from the user at a beginning of the workout session via the mobile device worn by the user;

perform a weighted evaluation of the factors that affect the performance of the user; and

change the coaching style for a single workout session based on the weighted evaluation.