Method and system for automated personal training that includes training programs

Patent metadata

Field	Value
Publication number	US-12400756-B2
Application number	US-201715609084-A
Country	US
Kind code	B2
Filing date	May 31, 2017
Priority date	Nov 5, 2010
Publication date	Aug 26, 2025
Grant date	Aug 26, 2025

Abstract

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

First claim

What is claimed is:

1. A computer implemented method comprising:
capturing, with a wrist-worn sensor, motion parameter data of a user performing an athletic movement;
identifying a form of the user based on an identified sensor region and based on tracking motion parameter data in the identified sensor region;
generating, at a processor, one or more human movement screen scores based on the form of the user and based on the at least a first portion of the motion parameter data of the user performing the athletic movement;
providing a feedback display that includes a graphical comparison of the form of the user versus a desired form and an identification of the one or more human movement screen scores;
generating, by the processor, a personalized exercise program based on the one or more human movement screen scores, and comprising a plurality of workouts;
in response to determining that a current workout session is not a first workout session for the user, determining a previous human movement screen score from a previous workout, a duration since the previous workout, and a number of missed workouts during the duration;
selecting, by the processor, from the plurality of workouts in the personalized exercise program and based the duration since the previous workout and the number of missed workouts during the duration, a current workout, wherein the current workout includes one or more exercises selected based on the previous human movement screen score;
determining a length of time that the user has available for completing the current workout of the plurality of workouts in the personalized exercise program; and
in response to determining that a length of time associated with the current workout is greater than a length of time the user has available, adjusting the current workout.

2. The computer implemented method of claim 1 , wherein the capturing motion parameter data further comprises capturing, with an image capture device, images of the user performing the athletic movement.

3. The computer implemented method of claim 2 , wherein the image capture device comprises a plurality of cameras.

4. The computer implemented method of claim 1 , wherein the generating one or more human movement screen scores comprises generating, at a processor, a human movement screen score based on the wrist-worn sensor and a second sensor.

5. The computer implemented method of claim 1 , wherein the wrist-worn sensor, comprises an accelerometer.

6. The computer implemented method of claim 1 , wherein the capturing motion parameter data further comprises capturing motion parameters with a footwear-worn accelerometer.

7. The computer implemented method of claim 1 , wherein the wrist-worn sensor comprises an orientation determining sensor.

8. The computer implemented method of claim 1 , wherein generating the personalized exercise program is based on the one or more human movement screen scores and an input of the user.

9. The computer implemented method of claim 8 , wherein the input of the user comprises a time commitment.

10. The computer implemented method of claim 8 , wherein the input of the user comprises a number of exercise sessions in a predetermined time period.

11. The computer implemented method of claim 1 , wherein the generating one or more human movement screen scores comprises evaluating a form of the user by identifying locations of body parts of the user at different times.

12. The computer implemented method of claim 1 , wherein the wrist-worn sensor comprises a display.

13. The computer implemented method of claim 1 , wherein the personalized exercise program includes a ghost workout received from a friend of the user.

14. The computer implemented method of claim 1 , wherein adjusting the current workout comprises substitution of one or more exercises within the current workout.

15. The computer implemented method of claim 1 , wherein adjusting the current workout comprises altering one of: an amount of warmup time, a number of sets of an exercise of the current workout, or a number of repetitions of an exercise of the current workout.

16. The computer implemented method of claim 1 , wherein the feedback display further comprises a highlighting of a body part of the user associated with improper form and a correction to a form of the user.

17. An apparatus configured to be worn on an appendage of a user, comprising:
at least one processor;
a display device;
a sensor device;
a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the at least one processor cause the at least one processor to:
capture, from the sensor device, motion parameter data of the user performing an athletic movement;
identify a form of the user based on an identified sensor region and based on tracking motion parameter data in the identified sensor region;
generate, by the at least one processor, one or more human movement screen scores based on the form of the user and based on the at least a first portion of the motion parameter data of the user performing the athletic movement;
provide a feedback display that includes a graphical comparison of the form of the user versus a desired form and an identification of the one or more human movement screen scores;
generate, by the at least one processor, a personalized exercise program based on the one or more human movement screen scores, and comprising a plurality of workouts;
in response to determining that a current workout session is not a first workout session for the user, determine a previous human movement screen score from a previous workout, a duration since the previous workout, and a number of missed workouts during the duration;
determine by the processor from the plurality of workouts in the personalized exercise program and based on both the duration since the previous workout and the number of missed workouts during the duration, a current workout, wherein the current workout includes one or more exercises selected based on the previous human movement screen score;

determine whether a length of time associated with the current workout is greater than a length of time the user has available for completing the current workout; and
automatically adjust the current workout based on determining that the length of time associated with the current workout is greater than a length of time the user has available for completing the current workout, wherein adjusting the current workout comprises altering one or more of: an amount of warmup time, a number of sets of an exercise of the current workout, and a number of repetitions of an exercise of the current workout.

18. The apparatus of claim 17 , wherein the capturing comprises obtaining accelerometer data from an accelerometer located on the apparatus.

19. The apparatus of claim 18 , wherein the accelerometer data comprises data from a plurality of axes.

20. The apparatus of claim 18 , wherein the computer-readable medium further comprises computer-executable instructions that when executed by the at least one processor cause the at least one processor to:
collect motion parameters of the user from a footwear-worn accelerometer; and
wherein generating the one or more human movement screen scores is based upon at least data obtained from the footwear-worn accelerometer and the motion parameters captured from the sensor device.

21. The apparatus of claim 18 , wherein the sensor device comprises a gyroscope.

22. The apparatus of

Assignees

• Nike Inc

Inventors

• Aragones Tesa
• Guerrero Adriana
• Self Christina S
• Blahnik Jay C
• Winsper Paul T

Classifications

• A63B2220/836

  Sensors arranged on the body of the user · CPC title

• A63B2220/803

  Motion sensors · CPC title

• A63B2071/0663

  worn on the wrist, e.g. wrist bands · CPC title

• G16H20/30

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• G09B19/0038

  Sports · CPC title