Method of confirming performer of exercise

• US 6,428,476 B1
• Filed: 10/11/2000
• Issued: 08/06/2002
• Est. Priority Date: 10/13/1999
• Status: Expired due to Term

• Current Assignee: Polar Electro Oy
• Original Assignee: Polar Electro Oy
• Inventors: Nissilä, Seppo, Heikkilä, Ilkka, Siurua, Raimo
• Primary Examiner(s): Nasser, Robert L.
• Assistant Examiner(s): MALLARI, PATRICIA C
• Application Number:
  US09/686,510
• Time in Patent Office: 664 Days
• Field of Search: 600/300, 600/301, 600/508, 600/520, 600/503, 482/8, 482/900
• US Class Current: 600/300
• 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 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• 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: 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 22/02 with movable endless bands , e.g. treadmills other training appliances for running on the spot A63B69/0028
• CPC Class Codes: A63B 2230/06 heartbeat rate only
• CPC Class Codes: A63B 2230/065 within a certain range
• 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 71/06 Indicating or scoring devices for games or players , or for other sports activities

Abstract

The invention presents a system for confirming a performer of a fitness exercise. The system includes a heart rate monitor (104) for measuring heart rate parameters (404A to 404N) associated with the fitness exercise from the heart rate of the performer. The system also includes a mathematical model (406) including dependence information between heart rate parameters (404A to 404N) and classes classifying the performer in classes (402A to 402N) such as age or weight. Heart rate parameter data measured from the performer and information in the mathematical model are utilized in identifying the performer of the fitness exercise.

Claims

1. A method of confirming a performer of a fitness exercise,

the method comprising the following steps:

measuring heart rate information associated with the performer of the fitness exercise as regards the fitness exercise;

forming an identifier value in one or more classes on the basis of one or more parameters of the measured heart rate information by means of a mathematical model comprising dependence information between said parameter of the heart rate information and said class;

confirming the performer of the fitness exercise by comparing in said one or more classes the identifier value with a reference value formed for the performer of the fitness exercise in the class.

2. A method as claimed in claim 1, further comprising the steps of:

forming an execution date of the fitness exercise in connection with the fitness exercise;

adding said date to the heart rate information collected on the fitness exercise in order to confirm the execution date of the fitness exercise.

3. A method as claimed in claim 2, further comprising the step of:

encrypting the execution date of the fitness exercise by a first encryption algorithm.

4. A method as claimed in claim 1, further comprising the steps of:

forming an execution time of the fitness exercise in connection with the fitness exercise;

adding said execution time to the heart rate information collected on the fitness exercise in order to confirm the execution time of the fitness exercise.

5. A method as claimed in claim 4, further comprising the step of:

encrypting the execution time of the fitness exercise by an encryption algorithm.

6. A method as claimed in claim 1, wherein said mathematical model is a neural network, the mathematical model having been taught by a sufficiently large amount of real measurement results concerning the effects of the user heart rate information in different classes.

7. A method as claimed in claim 1, wherein said class used is one or more of the following physiological classes:

age, sex, height or weight.

8. A method as claimed in claim 1, wherein said class used is one or more of the following classes describing the heart rate:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

9. A method as claimed in claim 1, wherein the heart rate information parameter used is one or more of the following parameters:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

30. A method as claimed in claim 2, further comprising the steps of:

forming an execution time of the fitness exercise in connection with the fitness exercise;

adding said execution time to the heart rate information collected on the fitness exercise in order to confirm the execution time of the fitness exercise.

10. An arrangement for confirming a performer of a fitness exercise, the arrangement comprising:

a heart rate monitor for measuring one or more parameters of heart rate information associated with the performer of the fitness exercise as regards the fitness exercise;

identifier equipment comprising;

means for classifying the performer of the fitness exercise in one or more classes;

a mathematical model comprising dependence information between said one or more parameters of the heart rate information and said one or more classes;

and calculating means for forming an identifier value in one or more classes on the basis of one or more parameters of the heart rate information by means of the mathematical model;

means for comparing in said one or more classes the identifier value of the performer of the fitness exercise with a reference value formed for the performer of the fitness exercise in the class;

means for concluding the performer of the fitness exercise on the basis of the comparison between the identifier values and the reference values.

11. An arrangement as claimed in claim 10, wherein the heart rate monitor comprises means for transmitting the heart rate information wirelessly or through a connecting line from the heart rate monitor to the calculating means.

12. An arrangement as claimed in claim 10, wherein the identifier equipment comprises means for receiving the heart rate information transmitted wirelessly or through the connecting line from the heart rate monitor.

13. An arrangement as claimed in claim 10, wherein the heart rate monitor comprises means for forming an execution date of the fitness exercise in connection with the fitness exercise and adding said date to the heart rate information collected on the fitness exercise in order to confirm the execution date of the fitness exercise.

14. An arrangement as claimed in claim 13, wherein the heart rate monitor comprises means for encrypting the execution date of the fitness exercise by a first encryption algorithm.

15. An arrangement as claimed in claim 10, wherein the heart rate monitor comprises means for forming an execution time of the fitness exercise in connection with the fitness exercise and adding said execution time to the heart rate information collected on the fitness exercise in order to confirm the execution time of the fitness exercise.

16. An arrangement as claimed in claim 15, wherein the heart rate monitor comprises means for encrypting the execution time of the fitness exercise by a second encryption algorithm.

17. An arrangement as claimed in claim 10, wherein said mathematical model is a neural network, the mathematical model having been taught by a sufficiently large amount of real measurement results concerning the effects of the user heart rate information in different classes.

18. An arrangement as claimed in claim 10, wherein said class used is one or more of the following physiological classes:

age, sex, height or weight.

19. An arrangement as claimed in claim 10, wherein said class used is one or more of the following classes describing the heart rate:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

20. An arrangement as claimed in claim 10, wherein the heart rate information parameter used is one or more of the following parameters:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

31. An arrangement as claimed in claim 13, wherein the heart rate monitor comprises means for forming an execution time of the fitness exercise in connection with the fitness exercise and adding said execution time to the heart rate information collected on the fitness exercise in order to confirm the execution time of the fitness exercise.

21. A computer software product for confirming a performer of a fitness exercise, the product comprising a program stored in a device for storing programs and readable by a computer, and the program being arranged to perform the following method steps:

receiving heart rate information associated with the performer of the fitness exercise as regards the fitness exercise;

forming an identifier value on the basis of parameters of the measured heart rate information in one or more classes by means of a mathematical model comprising dependence information between the parameters of the heart rate information and the classes;

confirming the performer of the fitness exercise by comparing in said one or more classes the identifier value with a reference value formed for the performer of the fitness exercise in the class.

22. A computer software product as claimed in claim 21, wherein said mathematical model is a neural network, the mathematical model having been taught by a sufficiently large amount of real measurement results concerning the effects of the user heart rate information in different classes.

23. A computer software product as claimed in claim 21, wherein said class used is one or more of the following physiological classes:

age, sex, height or weight.

24. A computer software product as claimed in claim 21, wherein said class used is one or more of the following classes describing the heart rate:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

25. A computer for confirming a performer of a fitness exercise, the computer comprising:

means for receiving one or more parameters of heart rate information associated with the performer of the fitness exercise as regards the fitness exercise;

means for classifying the performer of the fitness exercise in one or more classes;

a mathematical model comprising dependence information between said one or more parameters of the heart rate information and said one or more classes;

calculating means for forming an identifier value in one or more classes on the basis of one or more parameters of the heart rate information by means of the mathematical model;

means for comparing in said one or more classes the identifier value of the performer of the fitness exercise with a reference value formed for the performer of the fitness exercise in the class;

means for concluding the performer of the fitness exercise on the basis of the comparison between the identifier values and the reference values.

26. A computer as claimed in claim 25, wherein said mathematical model is a neural network, the mathematical model having been taught by a sufficiently large amount of real measurement results concerning the effects of the user heart rate information in different classes.

27. A computer claimed in claim 25, wherein said class used is one or more of the following physiological classes:

age, sex, height or weight.

28. A computer as claimed in claim 25, wherein said class used is one or more of the following classes describing the heart rate:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.

29. A computer claimed in claim 25, wherein the heart rate information parameter used is one or more of the following parameters:

minimum heart rate, maximum heart rate, mean heart rate, standard heart rate deviation or spectral efficiency.