Method and device for optimizing the training of athletes

• US 10,391,360 B2
• Filed: 06/16/2009
• Issued: 08/27/2019
• Est. Priority Date: 06/16/2009
• Status: Active Grant

• Current Assignee: Slyde Analytics LLC (Ascend Innovation Management, LLC)
• Original Assignee: Myotest SA
• Inventors: Flaction, Patrick
• Primary Examiner(s): Jimenez, Loan B
• Assistant Examiner(s): Abyaneh, Shila Jalalzadeh
• Application Number:
  US12/485,178
• Publication Number:
  US 20100317489A1
• Time in Patent Office: 3,724 Days
• Field of Search: 482 1, 482 8- 9
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/224 Measuring muscular strength
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2220/40 Acceleration
• 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: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A method for optimizing the training of athletes, including the steps of during a test, measuring with a portable device (1) a series of acceleration values during a series of N short movements performed by the athlete. Then, calculating with the device a plurality of muscular parameters based on the series of acceleration values. The device then determines a set of training exercises personalized for the athlete, based on the muscular parameters and presents the said set of training exercises to the athlete. The device then verifies the execution of the training exercises.

Claims

1. A method for optimizing training of athletes, comprising the steps of:

during an initial test, automatically measuring with an three-axis accelerometer of a single portable device, a series of acceleration values during a series of N short movements performed by an athlete, said single portable device being arranged to generate a signal for initiating the initial test and a signal for ending the initial test;

operating said single portable device so that it;

calculates a plurality of muscular parameters based on said series of acceleration values, wherein said plurality of muscular parameters include at least four different muscular parameters, wherein said plurality of muscular parameters comprise extension, reactivity, muscular stiffness, and coordination,

determines among said plurality of muscular parameters, M weakest muscular parameters of the athlete, each of the M weakest muscular parameters being different, and wherein M is a positive integer greater than one, and

automatically selects, on the basis of said initial test and said M weakest muscular parameters, a set of training exercises personalized for said athlete, said set of training exercises comprising a personalized session of interval running, said personalized session including periods of runs at various particular paces and short gymnastic exercises between said periods,

presenting, by a display of said single portable device, said set of training exercises to said athlete;

executing, by the athlete, said set of training exercises;

operating said single portable device to

measure acceleration values during execution of the set of training exercises, so as to directly measure said plurality of muscular parameters of the athlete during the execution of said set of training exercises,

check, during and/or after the execution of the set of training exercises, if the athlete has improved the M weakest muscular parameters, and

use the measured acceleration values to automatically verify correct execution of said set of training exercises, by computing results after each exercise of said set of training exercises, and/or by indicating incorrect execution of an exercise of set of training exercises by audio and/or text signals,

wherein said three-axis accelerometer comprises one or more preferential axes, offering greater precision, resolution and/or measurement range than in the other axes, and

wherein one of the one or more preferential axes is aligned vertically when the single portable device is in its normal use position, so as to improve the measurements in the vertical direction.

2. The method of claim 1, wherein said series of N short movements comprises jumps, wherein the reactivity increases with a time of flight during jumps, and decreases with a duration of ground contact between two jumps;

and wherein the coordination increases with a regularity of the reactivity measured for all jumps within said series of N short movements.

3. The method of claim 2, wherein said reactivity depends on the square of time of flight divided by the duration of ground contact, computed for each jump.

4. The method of claim 1, wherein said series of N short movements comprises jumps, said plurality of muscular parameters being parameters of legs'"'"' musculature, and said set of training exercises being intended for improving running performance.

5. The method of claim 1, wherein said plurality of muscular parameters further includes muscular force and speed.

6. The method of claim 1, further comprising a step of retrieving, from a manual, a description of said set of training exercises.

7. The method of claim 1, wherein each exercise of said set of training exercises consists of a predefined number of gymnastic exercises.

8. The method of claim 1, wherein audio and/or visual signals are given by said single portable device during the initial test and during the set of training exercises, in order to suggest a given pace of performance of the initial test and execution of the set of training exercises.

9. The method of claim 1, wherein future set of training exercises are adapted based on said measured acceleration values during execution of said set of training exercises.

10. The method of claim 1, wherein said plurality of muscular parameters are displayed, by said single portable device, after the performance of said initial test.

11. The method of claim 1, wherein said plurality of muscular parameters are displayed in relative parameters, with reference to values reached by reference athletes.

12. The method of claim 1, wherein said series of N short movements comprise a series of counter movement jumps and a series of rebounds, wherein force is calculated based on acceleration values measured during said series of counter movements jumps, wherein the reactivity and the coordination are calculated based on acceleration values measured during said series of rebounds.

13. The method of claim 1, wherein said series of N short movements comprises jumps, wherein the reactivity increases with a time of flight during jumps, and decreases with a duration of ground contact between two jumps, and the coordination increases with a regularity of the reactivity measured for all jumps within said series of N short movements, and wherein said reactivity depends on the square of time of flight divided by the duration of ground contact, computed for each jump.

14. The method of claim 1, comprising the steps of:

operating said single portable device to measure said plurality of muscular parameters of the athlete during the execution of said set of training exercises at a plurality of different times, and at each of said plurality of different times, storing in a memory of said single portable device said measured plurality of muscular parameters to generate a history of measured plurality of muscular parameters, and adapting, by the single portable device, said set of training exercises based on the history of measured plurality of muscular parameters.

15. The method of claim 1, comprising the steps of:

operating said single portable device to measure one or more performance-indicating parameters of the athlete during the execution of said set of training exercises at a plurality of different times, and at each of said plurality of different times, storing in a memory of said single portable device said measured one or more performance-indicating parameters to generate a history of measured one or more performance-indicating parameters, and suggesting future set of training exercises, by the single portable device, which aid recuperation, based on the history of measured one or more performance-indicating parameters and/or the number of different times which the set of training exercises have been executed.

16. The method of claim 1, comprising the step of:

operating said single portable device to detect an over-training of said athlete and to adapt future set of training exercises based on said over-training.

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

displaying on the display of said single portable device and before the initial test, recommendations to the athlete inviting the athlete to wait still for a period, and during said period, operating the single portable device to determine the vertical direction based on acceleration values measured, by the three-axis accelerometer, along all the axes of the three-axis accelerometer.

18. The method of claim 1, wherein said three-axis accelerometer is made in the form of a MEMS component and linked to an analog-digital converter, or directly integrating such a converter, so as to deliver sequences of acceleration measurements along three axes.

19. The method of claim 1, wherein the measurement range of the one or more preferential axes is greater than ±

8G.

20. The method of claim 1, wherein the resolution of the preferential axis or axes is greater than 10 bits.

21. The method of claim 1, comprising the step of:

selecting said set of training exercises, by a random generator, among different equivalent exercises, in order to vary the type of exercises suggested to the athlete and to make the training program more attractive and less repetitive.

22. The method of claim 1, comprising the step of:

selecting said set of training exercises among a wider catalogue of exercises;

the selection depending on the results of the initial test, and on two weakest muscular parameters of the M weakest muscular parameters which need more improvements.

23. The method of claim 1, comprising the step of:

computing results after each exercise of the set of training exercises in a qualitative form with three levels.