Integrated portable device and method implementing an accelerometer for detecting asymmetries in a movement of a user

1. A method for detecting asymmetries in a movement of a user, comprising:

(a) fastening a device on the torso of said user, close to his/her center of gravity, said device being electrically self-sufficient and comprising a triaxial accelerometer for providing distinct acceleration sequence data along three distinct axis, and a digital processor, wherein the digital processor is configured to calculate, on the basis of acceleration data, a plurality of biomechanical parameters, said plurality of biomechanical parameters including:

a stride regularity index of an exercise determined on the basis of said acceleration data,

wherein said stride regularity index is determined based on dispersion of a reactivity, and wherein the reactivity is determined based on flight time and contact time, and wherein flight time and contact time are determined on the basis of said acceleration data; and

a fatigue level indicator determined on the basis of said regularity index, and

(b) measuring a sequence of acceleration data along at least a vertical direction using said accelerometer, while the user performs at least one exercise;

(c) during or at the end of this exercise, having said processor calculate, on the basis of said acceleration data, said plurality of biomechanical parameters which allow at least one asymmetry in the movements of the user to be determined.

2. The method according to claim 1 , for analyzing biomechanical parameters of the stride of a user who is a runner, wherein:

said sequence of acceleration data in at least the vertical direction is measured using said accelerometer, while the user runs a distance on a running course, said distance being either predetermined or entered manually or determined by a satellite receiver;

during or at the end of the running course, the biomechanical parameters of a stride of said runner are calculated by said processor on the basis of said acceleration data, of said distance and of a period of time measured by a chronograph of said device;

said parameters are displayed on a display of said device.

3. The method according to claim 1 , wherein said biomechanical parameters further include at least one of the following parameters: balance, explosive power, mobility, resistance.

4. The method according to claim 1 , wherein said biomechanical parameters allow an asymmetry between at least one movement of a left leg and at least one corresponding movement of a right leg and/or an asymmetry between at least one forward movement of the user and at least one corresponding backward movement of the user to be determined.

5. The method according to claim 4 , wherein said biomechanical parameters include an injury risk indicator calculated on the basis of said asymmetry.

6. The method according to claim 1 , wherein a sequence of acceleration data in at least an anteroposterior direction is measured by said accelerometer and processed separately from a sequence of acceleration data in a vertical direction in order to calculate at least some of said biomechanical parameters.

7. The method according to claim 1 , wherein a sequence of acceleration data in at least a lateral direction is measured by said accelerometer and processed separately from a sequence of acceleration data in a vertical direction in order to calculate at least some of said biomechanical parameters.

8. The method according to claim 1 , wherein an anteroposterior direction is determined by determining a spatial direction in which displacement of the user is at its greatest.

9. The method according to claim 1 , wherein said device proposes a customized training schedule according to said biomechanical parameters, wherein the customized training schedule is designed to improve technical or muscular qualities of the user.

10. The method according to claim 1 , including steps of calculating and displaying of a radar chart or Kiviat diagram comprising said biomechanical parameters.

11. A method according to claim 1 wherein said fatigue level indicator is determined using the formula

Fatigue

=

1

-

∑

i

=

1

n

⁢

⁢

Regularité

⁡

(

i

)

n

·

Regularité

⁡

(

1

)

wherein “Fatigue” corresponds to a fatigue level which is indicated by said fatigue level indicator and “Regularité” indicates said stride regularity index and “n” is an integer positive number.

12. A method according to claim 1 wherein the method further comprises determining a risk injury factor based on a level of asymmetry between both legs of a user, and wherein said level of asymmetry is determined on the basis of said acceleration data.

13. A non-transitory computer data carrier storing a computer program, comprising:

digital processor for executing the computer program to calculate, during or at the end of at least one exercise performed by a user, on the basis of acceleration data measured along at least a vertical direction using an accelerometer, a plurality of biomechanical parameters which allow at least one asymmetry in a movement of the user to be determined, wherein said biomechanical parameters include:

i) a stride regularity index of an exercise determined on the basis of said acceleration data, wherein said stride regularity index is determined based on dispersion of a reactivity, and wherein the reactivity is determined based on flight time and contact time, and wherein flight time and contact time are determined on the basis of said acceleration data; and

ii) a fatigue level indicator determined on the basis of said regularity index,

and wherein the digital processor is configured to calculate said plurality of biomechanical parameters.

14. A device designed for detecting asymmetries in a movement of a user, comprising:

a self-sufficient electric power source;

a triaxial accelerometer for providing distinct acceleration sequence data along three distinct axis whilst the user performs at least one exercise;

a digital processor programmed for calculating, during or at the end of said exercise, a plurality of biomechanical parameters enabling a detection of at least one asymmetry in a movement of said user, on the basis of said acceleration data, said biomechanical parameters including:

i) a stride regularity index of an exercise determined on the basis of said acceleration data, wherein said stride regularity index is determined based on dispersion of a reactivity, and wherein the reactivity is determined based on flight time and contact time, and wherein flight time and contact time are determined on the basis of said acceleration data; and

ii) a fatigue level indicator determined on the basis of said regularity index,

and wherein the digital processor is configured to calculate said plurality of biomechanical parameters.

15. The device according to claim 14 , also comprising:

a chronograph;

a belt;

a display for displaying said parameters.

16. A method for detecting asymmetries in a movement of a user, comprising:

(a) fastening a device on the torso of said user, close to his/her center of gravity, said device being electrically self-sufficient and comprising a triaxial accelerometer for providing distinct acceleration sequence data along three distinct axis, and a digital processor;

(b) measuring a sequence of acceleration data along at least a vertical direction using said accelerometer, while the user performs at least one exercise;

(c) during or at the end of this exercise, having said processor calculate, on the basis of said acceleration data, a plurality of biomechanical parameters which allow at least one asymmetry in the movements of the user to be determined, wherein said biomechanical parameters includes: a stride regularity index of the exercise determined on the basis of said acceleration data, wherein said stride regularity index is determined based on dispersion of a reactivity, and wherein the reactivity is determined based on flight time and contact time, and wherein flight time and contact time are determined on the basis of said acceleration data; and a fatigue level indicator determined on the basis of said stride regularity index.

17. A method according to claim 16 wherein said fatigue level indicator is determined using the formula

Fatigue

=

1

-

∑

i

=

1

n

⁢

⁢

Regularité

⁡

(

i

)

n

·

Regularité

⁡

(

1

)

wherein “Fatigue” indicates said fatigue level indicator and “Regularité” indicates said stride regularity index and “n” is an integer positive number.

18. A method according to claim 16 wherein the method further comprises determining a risk injury factor based on a level of asymmetry between both legs of a user, and wherein said level of asymmetry is determined on the basis of said acceleration data.