SYSTEM FOR TRAINING OPTIMISATION

• US 20100076278A1
• Filed: 09/04/2007
• Published: 03/25/2010
• Est. Priority Date: 09/06/2006
• Status: Active Grant

• Current Assignee: Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno
• Original Assignee: Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno
• Inventors: Kalisvaart, Sytze, van der Zande, Marc Esse, van der Loo, Johannes
• Granted Patent: US 8,348,809 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A63B 2024/0009 Computerised real time comparison with previous movements or motion sequences of the user
• CPC Class Codes: A63B 2024/0068 Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2024/0093 the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
• CPC Class Codes: A63B 22/0605 performing a circular movement, e.g. ergometers
• CPC Class Codes: A63B 2214/00 Training methods
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/00 Measuring physiological parameters of the user
• CPC Class Codes: A63B 2230/065 within a certain range
• CPC Class Codes: A63B 2244/20 Swimming
• 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 24/0087 Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
• CPC Class Codes: A63B 69/0028 for running, jogging or speed-walking movable endless bands A63B22/02
• CPC Class Codes: A63B 71/0622 Visual, audio or audio-visual systems for entertaining, instructing or motivating the user

Abstract

System for training optimisation, the system comprising: at least one sensor for measuring a mechanical load parameter which is indicative for a mechanical load of the training a storage module for storing data which are dispatched by the least one sensor in a log file; a training advice module which is arranged for determining a personal training advice related to a load assessment of the user based on at least the data stored in the log file, the data comprising a cumulative load parameter or a training load history determined on the basis of historical sensor data stored in the log file, the training advice comprising the frequency of next training sessions and/or a type of training to be performed in the next training session; at least one output device such as a display, a sound signal, audio output, voice output or a vibrating element for outputting said training advice to said user.

Claims

1. A programmed processor-based system for optimizing training, the system comprising:

at least one sensor for measuring a mechanical load parameter which is indicative of a mechanical load of the training;

a storage module for storing data which are dispatched by the least one sensor in a log file;

a training advice module which is arranged for determining a personal training advice related to a load assessment of the user based on at least data stored in the log file, the data stored in the log file comprising a cumulative load parameter or a training load history determined on the basis of historical sensor data stored in the log file, the personal training advice comprising a frequency of next training sessions and/or a type of training to be performed in the next training session; and

at least one output device for outputting said training advice to said user.

2. The programmed processor-based system according to claim 1, wherein the mechanical load parameter is chosen from the group consisting of:

number of steps,

distance,

rate of pronation,

maximal pronation,

timing,

rate of loading,

impact peak,

active peak,

alignment of joints,

technique,

force,

impact,

speed,

rotation,

rotational speed,

leg stiffness,

vertical stiffness,

torsional stiffness,

floor-foot contact time, and

acceleration.

3. The programmed processor-based system according to claim 1, wherein the data stored in the log file is also be used for determining a training advice for a current training session.

4. The programmed processor-based system according to claim 1, the system comprising at least one sensor for measuring a physiological parameter, the storage module for storing data also being adapted to store data which are dispatched by the at least one sensor for measuring a physiological parameter.

5. The programmed processor-based system according to claim 4, wherein the physiological parameter is chosen from the group consisting of:

heart beat rate,

respiration rate,

skin temperature,

core body temperature,

volume of oxygen uptake (VO₂),

respiratory ratio between oxygen and carbon dioxide (RER), and

lactate levels.

6. The programmed processor-based system according claim 1, wherein the system comprises at least one sensor for measuring a performance parameter chosen from the group consisting of:

speed,

distance,

acceleration,

height,

impact (e.g. of hit),

precision,

reproducibility,

gross efficiency,

goals,

correct passes,

successful interventions,

successful assists, and

number of goal shots.

7. The programmed processor-based system according to claim 1, wherein the system comprises at least one sensor for measuring an environmental parameter chosen from the group consisting of:

environmental temperature, humidity, air pressure,

altitude,

global position,

wind speed,

wind direction,

water temperature,

wave speed,

wave direction,

wave size,

ground/ice/snow temperature,

ground/ice/snow density, and

ground/ice/snow stiffness.

8. The programmed processor-based system according to claim 1, wherein the training advice module processes historical sensor data stored in the log file and, based thereon, determines the training frequency.

9. The programmed processor-based system according to claim 1, wherein the training advice module processes historical sensor data stored in the log file and, based thereon, determines the type of training to be performed in the next or current training session.

10. The programmed processor-based system according to claim 1, wherein the training advice module, when processing sensor data stored in the log file for determining a training advice, is adapted to take into account at least one of the following parameters:

age,

length,

weight,

gender,

training level of the user of the system,

dominant sport,

training goals, and

subjective training evaluation indicators based on filled in question forms.

11. The programmed processor-based system according to claim 1, wherein at least one sensor for measuring a mechanical parameter is a sensor for determining acceleration of a body part wherein the training advice module is arranged for scheduling a training session to be chosen from at least two of the following categories:

a high impact type,

a moderate impact type, or

a low impact type.

12. The programmed processor-based system according to claim 1, comprising a representation module for representing the data in the log file in a graphical manner on a display or a hard copy.

13. The programmed processor-based system according to claim 1, wherein a display and the storage module are part of an electronic device, the electronic device chosen from the group comprising:

a computer, a hand held computer, a mobile phone, and a watch, and wherein the sensors are connectable to, or are part of the electronic device.

14. The programmed processor-based system according to claim 13, wherein the sensors are connectable to the electronic device via a wireless connection.

15. The programmed processor-based system according to claim 13, wherein the training advice module is part of said electronic device.

16. The programmed processor-based system according to claim 13, wherein the training advice module is separate from a server at a remote site, wherein the log file in the storage module is transferable to the server via a data network.

17. The programmed processor-based system according to claim 14, wherein the training advice module is separate from a server at a remote site, wherein the log file in the storage module is transferable to the server via a data network.

18. The programmed processor-based system according to claim 14, wherein the training advice module is part of said electronic device.