Method and System for Automated Personal Training that Includes Training Programs

• US 20120277891A1
• Filed: 11/23/2011
• Published: 11/01/2012
• Est. Priority Date: 11/05/2010
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Aragones, Tesa, Guerrero, Adriana, Blahnik, Jay C., Self, Christy S., Winsper, Paul
• Granted Patent: US 9,457,256 B2
• Time in Patent Office: Days
• US Class Current: 700/91
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0255 Recording instruments specially adapted therefor
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/684 Indicating the position of the sensor on the body
• CPC Class Codes: A63B 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 2024/0015 Comparing movements or motion sequences with computerised simulations of movements or motion sequences, e.g. for generating an ideal template as reference to be achieved by the user
• CPC Class Codes: A63B 2024/0071 Distinction between different activities, movements, or kind of sports performed
• CPC Class Codes: A63B 2024/0078 Exercise efforts programmed as a function of time
• CPC Class Codes: A63B 2024/0096 using performance related parameters for controlling electronic or video games or avatars
• CPC Class Codes: A63B 2071/0636 3D visualisation
• CPC Class Codes: A63B 2071/0647 Visualisation of executed movements
• CPC Class Codes: A63B 2071/0663 : worn on the wrist, e.g. wrist bands
• CPC Class Codes: A63B 2071/0677 : Input by image recognition, e.g. video signals
• CPC Class Codes: A63B 21/00069 : Setting or adjusting the resistance level; Compensating for a preload prior to use, e.g. changing length of resistance or adjusting a valve
• CPC Class Codes: A63B 21/00076 : on the fly, i.e. varying the resistance during exercise
• CPC Class Codes: A63B 2220/13 : Relative positions
• CPC Class Codes: A63B 2220/40 : Acceleration
• CPC Class Codes: A63B 2220/51 : Force
• CPC Class Codes: A63B 2220/803 : Motion sensors
• CPC Class Codes: A63B 2220/806 : Video cameras
• CPC Class Codes: A63B 2220/836 : Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/50 : Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 24/00 : Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: A63B 24/0006 : Computerised comparison for qualitative assessment of motion sequences or the course of a movement
• 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: A63B 24/0075 : Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: A63F 2300/1012 : involving biosensors worn by the player, e.g. for measuring heart beat, limb activity
• CPC Class Codes: A63F 2300/1093 : using visible light
• CPC Class Codes: A63F 2300/303 : for displaying additional data, e.g. simulating a Head Up Display
• CPC Class Codes: A63F 2300/6045 : for mapping control signals received from the input arrangement into game commands
• CPC Class Codes: A63F 2300/8005 : Athletics
• CPC Class Codes: G09B 19/003 : Repetitive work cycles; Sequence of movements
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation

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.

Claims

1. A computer implemented method comprising:

(a) providing instructions to perform athletic movements;

(b) capturing with an image capture device images of a user performing the athletic movements;

(c) generating at a processor a human movement screen score based on the captured images of the user performing athletic movements; and

(d) generating at a processor a personalized exercise program based on the human movement screen score.

2. The computer implemented method of claim 1, wherein (b) further comprises capturing with a sensor, other than the image capture device, motion parameters of the user performing the athletic movements.

3. The computer implemented method of claim 2, wherein (c) comprises generating at a processor a human movement screen score based on the captured images of the user and the motion parameters captured with the sensor.

4. The computer implemented method of claim 2, wherein the sensor, other than the image capture device, comprises a wrist worn accelerometer.

5. The computer implemented method of claim 2, wherein the sensor, other than the image capture device, comprises a footwear worn accelerometer.

6. The computer implemented method of claim 2, wherein the sensor, other than the image capture device, comprises an orientation determining sensor.

7. The computer implemented method of claim 1, wherein (d) comprises generating at a processor a personalized exercise program based on the human movement screen score and an input of the user.

8. The computer implemented method of claim 7, wherein the input of the user comprises a time commitment.

9. The computer implemented method of claim 7, wherein the input of the user comprises a number of exercise session in a predetermined time period.

10. The computer implemented method of claim 1, wherein the image capture device comprises a plurality of cameras.

11. The computer implemented method of claim 10, wherein the image capture device comprises an infrared camera.

12. The computer implemented method of claim 1, wherein (c) comprises evaluating the form of the user by identifying locations of body parts of the user at different times.

13. The computer implemented method of claim 1, further including after (d):

(e) receiving exercise data captured by a sensor, other than the image capture device, that monitors activity of the user; and

(f) modifying the personalized exercise program based on the exercise data captured by the sensor.

14. The computer implemented method of claim 13, wherein (f) comprises reducing or eliminate an exercise when the exercise data captured by the sensor indicates that the same or similar exercise was recently performed by the user.

15. The computer implemented method of claim 13, wherein the sensor in (e) comprises a wrist worn accelerometer.

16. The computer implemented method of claim 13, wherein the sensor in (e) comprises a footwear worn accelerometer.

17. The computer implemented method of claim 13, wherein the sensor in (e) comprises a gyroscope.

18. The computer implemented method of claim 13, wherein the sensor that monitors athletic activity of the user comprises a GPS device.

20. A system comprising:

a video game console comprising at least one processor;

a display device;

an image capture device;

a computer readable memory containing computer-executable instructions that when executed cause the system to perform the steps comprising;

(a) displaying on the display device instructions to perform athletic movements;

(b) capturing with the image capture device images of a user performing the athletic movements;

(c) generating at the least one processor a human movement screen score based on the captured images of the user performing athletic movements; and

(d) generating at the at least one processor a personalized exercise program based on the human movement screen score.

21. The system of claim 20, further comprising:

a sensor, other than the image capture device, that captures motion parameters of the user performing the athletic movements; and

wherein the computer-executable instructions further comprise instructions that when executed cause the system to capture the motion parameters captured by the sensor.

22. The system of claim 21, wherein the sensor, other than the image capture device, comprises a wrist worn accelerometer.

23. The system of claim 21, wherein the sensor, other than the image capture device, comprises a footwear worn accelerometer.

24. The system of claim 21, wherein the sensor, other than the image capture device, comprises a gyroscope.

25. A tangible computer-readable medium that contains computer-executable instructions that when executed cause a system to perform the steps comprising:

(a) displaying on a display device instructions to perform athletic movements;

(b) capturing with the image capture device images of a user performing the athletic movements;

(c) generating at least one processor a human movement screen score based on the captured images of the user performing athletic movements; and

(d) generating at the at least one processor a personalized exercise program based on the human movement screen score.