Process and system for monitoring exercise motions of a person

• US 8,435,177 B2
• Filed: 07/31/2008
• Issued: 05/07/2013
• Est. Priority Date: 08/08/2007
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Lanfermann, Gerd, Bongers, Edwin Gerardus Johannes Maria, Lambert, Nicolaas, Van Acht, Victor Martinus Gerardus
• Primary Examiner(s): Johnson, III, Henry M
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US12/671,733
• Publication Number:
  US 20100234699A1
• Time in Patent Office: 1,741 Days
• Field of Search: None
• 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 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 24/0006 Computerised comparison for qualitative assessment of motion sequences or the course of a movement

Abstract

The present invention relates to a process and a system for monitoring exercise motions of a person. The process comprises monitoring a first sensor signal from the person. While the first sensor signal does not deviate from a first sensor signal template by more than a pre-determined amount, signals from further sensors from the person are monitored, compared to templates processing and the comparison result is evaluated. If unit sensor signals deviate from the templates by more than a pre-determined value this is communicated to the person.

Claims

1. A method for monitoring exercise motions of a person performing a corresponding exercise, the method comprising the steps of:

a) selecting a first sensor signal, the first sensor signal originating from a first sensor configured to detect data of the person to monitor the exercise while the person is performing the exercise motion, the first sensor being selected from the group consisting of movement sensors, physiological activity sensors, muscle activity sensors and respiratory sensors;

b) monitoring the first sensor signal and comparing the first sensor signal to a first sensor signal template stored in a memory unit and determining via a signal processing unit whether the first sensor signal deviates from the first sensor signal template by more than a pre-determined value to determine whether the person is performing the exercise correctly with respect to the first sensor signal;

c) when the first sensor signal does not deviate from the first sensor signal template by more than the pre-determined value, performing a procedural loop comprising the steps of;

monitoring at least one further signal originating from at least one further sensor configured to detect data of the person to monitor the exercise while the person is performing the exercise motion and being selected from the group consisting of movement sensors, physiological activity sensors, muscle activity sensors and respiratory sensors;

comparing the at least one further signal from the at least one further sensor to at least one further sensor signal template stored in the memory unit representing the exercise the person is performing; and

evaluating the comparison result via the signal process unit to determine whether the at least one further sensor signal deviates from the at least one further sensor signal template by more than a further pre-determined value to determine whether the person is performing the exercise correctly with respect to the at least one further sensor signal;

d) communicating to the person performing the exercise when he first sensor signal deviates from the first sensor signal template by more than the pre-determined value; and

e) communicating to the person performing the exercise when the at least one further signal deviates from the at least one further sensor signal template by more than the further pre-determined value.

2. The method according to claim 1, further comprising the following step:

f) comparing one of the first signal to the first sensor signal template and the at least one further signal the at least one further sensor signal template for identifying whether a condition indicating the end of the exercise has been met.

3. The method according to claim 1, further comprising communicating to the person that the exercise should not be continued when physiological data from at least one of the first sensor and the at least one further sensor exceed a pre-determined limit.

4. The method according to claim 1, wherein the pre-determined value or the further pre-determined value in at least one of step b), c), d) and e) varies in magnitude over the course of the exercise.

5. The method according to claim 1, wherein the magnitude of the pre-determined value or the further pre-determined value in at least one of step b), c), d) and e) is changed after the person has performed a pre-determined number of the same type of exercises.

6. The method according to claim 1, further comprising automatically providing feedback to the person when the end of an exercise has been recognized.

7. A system for monitoring performance of an exercise by a person, the system comprising:

a signal processing unit;

a plurality of sensors in communication with the signal processing unit and configured to generate a plurality of signals providing parameters indicating physical responses of the person performing the exercise, the sensors comprising a physiological activity sensor and at least one of a movement sensor, a muscle activity sensor and a respiratory sensor, the parameters being using for monitoring the performance of the exercise; and

a memory unit in communication with the signal processing unit and configured to store a plurality of signal templates corresponding to the plurality of signals and acceptable deviations of the plurality of signals from the signal templates, respectively, each signal template providing an ideal value of the corresponding signal for performing the exercise correctly,

wherein the signal processing unit is configured to determine successful completion of the exercise by comparing a first sensor signal with the corresponding template to determine whether an amount of deviation of the first sensor signal from the corresponding template is within the acceptable deviation stored in the memory unit, and when the first sensor signal is within the acceptable deviation, performing a procedural loop for comparing a second sensor signal with the corresponding template.

8. The system according to claim 7, wherein the plurality of sensors comprises an electromyographic sensor, a piezoelectric respiratory sensor and five motion sensors, the motion sensors each being combinations of magnetometers, gyroscopes and accelerometers.

9. The system according to claim 7, wherein the plurality of sensors are in communication with the signal processing unit via electrical conductivity of the body of the person.

10. The system of claim 7, further comprising:

a communication unit in communication with the signal processing unit and configured to warn the person when each signal is not within the acceptable deviation from the corresponding template.

11. The system of claim 7, wherein the communication unit is further configured to inform the person that the exercise has been successfully completed when each signal is within the acceptable deviation from the corresponding template over an exercise period.

12. The system of claim 7, wherein the communication unit is further configured to infirm the person to stop the exercise when at least one of the plurality of signals exceeds a predetermined threshold.

13. The system of claim 12, wherein the at least one of the comparison results indicates one of high pulse rate, high blood pressure, sweating and irregular heart beat.

14. The system of claim 7, wherein a range of the amount of deviation of at least one of the signals from the corresponding template is automatically narrowed upon successful completion to assist the person to subsequently perform the exercise more precisely.

15. A system for monitoring performance of an exercise by a person, the system comprising:

a signal processing unit;

a first sensor in communication with the signal processing unit and configured to generate a first signal providing parameters indicating responses of the person performing the exercise, the first sensor comprising a physiological activity sensor;

a second sensor in communication with the signal processing unit and configured to generate a second signal providing parameters indicating responses of the person performing the exercise, the second sensor comprising one of a movement sensor, a muscle activity sensor and a respiratory sensor, the parameters being using for monitoring the performance of the exercise; and

a memory unit in communication with the signal processing unit and configured to store a first signal template corresponding to the first signal and a first acceptable deviation of the first signal from the first signal template, and to store a second signal template corresponding to the second signal and a second acceptable deviation of the second signal from the second signal template, each of the first and second signal templates providing an ideal value of the corresponding first and second signals for performing the exercise correctly,

wherein the signal processing unit is configured to compare the first signal with the first signal template to determine whether an amount of deviation of the first signal from the first signal template is within the first acceptable deviation stored in the memory unit, and when it is determined that the first signal is within the first acceptable deviation, to compare the second signal with the second signal template to determine whether an amount of deviation of the second signal from the second signal template is within the second acceptable deviation stored in the memory unit, and

wherein the signal processing unit is further configured to determine that the exercise is successfully completed when both the first signal is determined to be within the first acceptable deviation and the second signal is determined to be within the second acceptable deviation.