Wearable performance monitoring, analysis, and feedback systems and methods

• US 10,143,405 B2
• Filed: 11/13/2013
• Issued: 12/04/2018
• Est. Priority Date: 11/14/2012
• Status: Active Grant

• Current Assignee: MAD Apparel Incorporated
• Original Assignee: MAD Apparel Incorporated
• Inventors: Jayalath, Dhananja, Wiebe, Christopher
• Primary Examiner(s): McCrosky, David J
• Application Number:
  US14/079,621
• Publication Number:
  US 20140142459A1
• Time in Patent Office: 1,847 Days
• CPC Class Codes: A41D 1/04 Vests, jerseys, sweaters or the like
• CPC Class Codes: A41D 2500/52 in sheet form
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2562/0209 Special features of electrodes classified in A61B5/24, A61B5/25, A61B5/283, A61B5/291, A61B5/296, A61B5/053
• CPC Class Codes: A61B 2562/18 Shielding or protection of sensors from environmental influences, e.g. protection from mechanical damage
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/296 for electromyography [EMG]
• CPC Class Codes: A61B 5/30 Input circuits therefor
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6805 Vests
• CPC Class Codes: A61B 5/6841 by using templates
• CPC Class Codes: A63B 2024/0009 Computerised real time comparison with previous movements or motion sequences of the user
• CPC Class Codes: A63B 2024/0078 : Exercise efforts programmed as a function of time
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

The present application relates generally to computer software, mobile electronics, wireless communication links, and wearable monitoring systems. More specifically, techniques, systems, sensors, circuitry, algorithms and methods for wearable monitoring devices and associated exercise apparatus are described. A garment borne sensor system may acquire data on a user'"'"'s performance during exercise, for example. The data may be analyzed in real time and feedback may be provided to the user based on the analysis. Analysis may be used to alter behavior of the user and/or an apparatus the user is engaged with during an activity, such as exercise, conditioning, therapy, etc. A piece of exercise equipment may be instrumented and in communication with the sensor system or other system and may be controlled in real time to adjust its settings to affect the user during the exercise routine. Communication between the sensor system and other systems may be wireless.

Claims

1. A method comprising:

receiving a system schema for a plurality of muscles of a user, the system schema including a reference muscle activation data for each of the plurality of muscles;

receiving signals from a set of sensors embedded into a garment such that the sensors make electrical contact with a skin surface of the user when the garment is worn by the user, wherein the received signals represent muscle activation data of the plurality of muscles acquired while the user performs an activity that exercises the plurality of muscles;

comparing, for each muscle of a subset of the plurality of muscles, the acquired muscle activation data for the muscle to the reference muscle activation data for the muscle;

generating feedback on the performance of the activity by the user based on the comparison, wherein the generated feedback comprises text including one or more of an exercise instruction, a form suggestion, or an injury warning; and

modifying a display of a user device to include the generated feedback on the performance of the activity to the user.

2. The method of claim 1, wherein at least some acquired muscle activation data corresponds to one of an exertion level of a muscle of the plurality of muscles.

3. The method of claim 1, wherein the generated feedback is provided to the user during the performance of the activity or after the performance of the activity.

4. The method of claim 1, wherein the feedback is generated by one or more of the garment, a controller coupled to the garment, or a mobile device communicatively coupled to the garment.

5. The method of claim 1, further comprising displaying, by a mobile device of the user, the provided feedback, the mobile device wirelessly coupled to the garment.

6. The method of claim 1, wherein the set of sensors comprises less than all sensors embedded into the garment.

7. The method of claim 6, wherein the set of sensors is selected based on a type of the activity being performed by the user.

8. The method of claim 7, wherein the type of activity being performed is determined from information received from exercise equipment communicatively coupled to the garment or from an exercise plan associated with the user.

9. The method of claim 1, wherein the subset of the plurality of muscles comprises less than all of the plurality of muscles.

10. The method of claim 1, wherein the generated feedback comprises a recommendation to the user about the performance of the activity.

11. The method of claim 1, wherein the generated feedback comprises a warning to the user.

12. The method of claim 1, wherein the system schema and corresponding reference muscle activation data are determined based on one or more of previous usage of the garment by the user, demographic information of the user, information selected by the user, or information provided by a third party.

13. The method of claim 1, wherein the set of sensors embedded into the garment comprises redundant sensors.

14. The method of claim 13, wherein comparing the acquired muscle activation data to the reference muscle activation data for the muscle comprises selecting a subset of the acquired muscle activation data that corresponds to a subset of the set of sensors embedded into the garment.

15. A non-transitory computer-readable storage medium storing executable instructions that, when executed by a processor, perform steps comprising:

receiving a system schema for a plurality of muscles of a user, the system schema including a reference muscle activation data for each of the plurality of muscles;

receiving signals from a set of sensors embedded into a garment such that the sensors make electrical contact with a skin surface of the user when the garment is worn by the user, wherein the received signals represent muscle activation data of the plurality of muscles acquired while the user performs an activity that exercises the plurality of muscles;

comparing, for each muscle of a subset of the plurality of muscles, the acquired muscle activation data for the muscle to the reference muscle activation data for the muscle;

generating feedback on the performance of the activity by the user based on the comparison, wherein the generated feedback comprises text including one or more of an exercise instruction, a form suggestion, or an injury warning; and

modifying a display of a user device to include the generated feedback on the performance of the activity to the user.

16. The non-transitory computer-readable storage medium of claim 15, wherein at least some acquired muscle activation data corresponds to one of an exertion level of a muscle of the plurality of muscles.

17. The non-transitory computer-readable storage medium of claim 15, wherein the generated feedback is provided to the user during the performance of the activity or after the performance of the activity.

18. The non-transitory computer-readable storage medium of claim 15, wherein the feedback is generated by one or more of the garment, a controller coupled to the garment, and a mobile device communicatively coupled to the garment.

19. The non-transitory computer-readable storage medium of claim 15, further comprising displaying, by a mobile device of the user, the provided feedback, the mobile device wirelessly coupled to the garment.

20. The non-transitory computer-readable storage medium of claim 15, wherein the set of sensors comprises less than all sensors embedded into the garment.

21. The non-transitory computer-readable storage medium of claim 20, wherein the set of sensors is selected based on a type of the activity being performed by the user.

22. The non-transitory computer-readable storage medium of claim 21, wherein the type of activity being performed is determined from information received from exercise equipment communicatively coupled to the garment or from an exercise plan associated with the user.

23. The non-transitory computer-readable storage medium of claim 15, wherein the subset of the plurality of muscles comprises less than all of the plurality of muscles.

24. The non-transitory computer-readable storage medium of claim 15, wherein the generated feedback comprises a recommendation to the user about the performance of the activity.

25. The non-transitory computer-readable storage medium of claim 15, wherein the generated feedback comprises a warning to the user.

26. The non-transitory computer-readable storage medium of claim 15, wherein the system schema and corresponding reference muscle activation data are determined based on one or more of previous usage of the garment by the user, demographic information of the user, information selected by the user, or information provided by a third party.