METHOD AND SYSTEM FOR AUTOMATICALLY SELECTING PHYSICAL EXERCISES

• US 20160051858A1
• Filed: 08/20/2015
• Published: 02/25/2016
• Est. Priority Date: 08/21/2014
• Status: Abandoned Application

• Current Assignee: Slyde Analytics LLC (Ascend Innovation Management, LLC)
• Original Assignee: Myotest SA
• Inventors: FLACTION, Patrick, GINDRE, Cyrille
• Application Number:
  US14/831,474
• Publication Number:
  US 20160051858A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 5/749 Voice-controlled interfaces
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2024/0078 Exercise efforts programmed as a function of time
• 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: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

The present invention relates to a method for automatically selecting exercises to propose to a user (7) carrying a mobile device (5) comprising a processor (23), wherein the user (7) also wears a motion sensor, for example an accelerometer (3) configured for communicating with the mobile device (5).

The method comprises the following steps:

• • classifying a predefined collection of exercises in a database;
  • automatic selection by the mobile device (5) and/or by the accelerometer (3), wherein this selection takes into account at least one feedback from the user.

The feedback indicates the sensations of the user (7) whilst performing an exercise.

Claims

1. Method for automatically selecting physical exercises to propose to a user, wherein said user wears a motion sensor, for example an accelerometer,

wherein the method comprises the following steps:

classifying a predefined collection of physical exercises in a database according simultaneously to the user'"'"'s objectives, to the physical attributes that these physical exercises allow to reinforce and/or activate, and for each physical attribute the levels for which these physical exercises are appropriate;

inputting by the user of personal data comprising at least one user objective;

testing by means of said motion sensor of the level of the user for different physical attributes;

automatically selecting at least one physical exercise in said database on the basis of said user objective entered by the user, of one or several physical attributes to be reinforced and/or activated as determined according to the level of the user for this attribute, and of at least one user feedback, said feedback indicating the sensation of the user during the performance of a physical exercise.

2. The method according to claim 1, wherein said feedback includes a haptic or vocal command deliberately entered by the user during the performance of a physical exercise in order to indicate a sensation.

3. The method according to claim 1, wherein said feedback includes a signature of the movement of the user determined automatically on the basis of acceleration data collected by said accelerometer.

4. The method according to claim 1, wherein the physical attributes comprise at least two of the following physical attributes:

core stability, flexibility, endurance, power, agility, perception.

5. The method according to claim 1, wherein the levels are at least two and indicate in a progressive manner the physical attributes of said user and/or the difficulty of each physical exercise.

6. The method according to claim 1, wherein said user objectives include a sport that the user wishes to train and/or a pathology.

7. The method according to one claim 3, wherein said automatic selection is effected on the basis of said signature of the movement of said user during the performance of a physical exercise.

8. The method according to one claim 1, comprising the measuring of the level of the user for at least one physical parameter and/or a pathology during the performance of the selected physical exercises, and a subsequent selection of new physical exercises according to this level, of the user objectives and of the user'"'"'s feeling.

9. The method according to claim 3, wherein said signature of the movement of said user comprises the evolution over time of at least one of the following parameters and/or a combination of at least two of the following parameters:

force, power, speed, stability, reaction time, flight time, contact time, stiffness, responsiveness, asymmetry, inclination, fatigue, risk of injury, number of repetitions, reaction, rhythm, height, balance, oscillation.

10. The method according to claim 1, wherein said personal data comprise at least one of the following data:

age, weight, height, gender of the user, pathology.

11. The method according to claim 1, comprising the evolution and automatic modification of said test according to the different physical attributes measured during the execution of the physical exercises.

12. The method according to claim 1, wherein one or several physical exercises are regrouped in a training unit, wherein one or several training units are regrouped in sessions having a total duration of a whole number of weeks, for example 3 weeks, wherein reference exercises are integrated in each session so as to cause the training to evolve according to the level achieved at the time t+1 as compared to the level reached at the time t.

13. System for automatically selecting physical exercises (300) to propose to a user, comprising:

a motion sensor, for example an accelerometer designed for being worn by said user,

a database in which a predefined collection of physical exercises is classified according simultaneously to the user'"'"'s objectives, to the physical attributes that these physical exercises allow to reinforce and/or activate, and for each physical attribute to the levels of users for which these physical exercises are appropriate,

wherein the system is configured to allow the user to input personal data comprising at least one user objective and to automatically select at least one physical exercise in said database on the basis of said user objective entered by the user, of one or several physical attributes to be reinforced and/or activated as determined according to the user'"'"'s level for this attribute, and at least one feedback from the user, said feedback indicating the sensation of the user during the performance of a physical exercise.