SYSTEM AND METHOD FOR IDENTIFYING PERFORMANCE DAYS

• US 20150120018A1
• Filed: 12/24/2013
• Published: 04/30/2015
• Est. Priority Date: 10/24/2013
• Status: Active Grant

• Current Assignee: Logitech Europe S A (Logitech International SA)
• Original Assignee: Jaybird LLC (Logitech Europe S.A)
• Inventors: WISBEY, BEN, SHEPHERD, DAVID
• Granted Patent: US 9,864,843 B2
• Time in Patent Office: Days
• US Class Current: 700/91
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

Systems and methods for identifying and presenting information regarding performance periods are provided. Fatigue level associated with fatigue experienced in response to a stimulus and recovery from such fatigue may be determined based on heart rate variability (HRV) data and learned user characteristics. One or more cycles of fatigue and recovery can be identified as a fitness cycle(s), each fitness cycle encompassing a period of time beginning with the stimulus associated with the fitness-related activity and progressing through recovery from the fatigue experienced in response to the stimulus associated with the fitness-related activity. A performance period may be predicted based on a pre-determined fatigue/recovery level instance within a fitness cycle.

Claims

1. An apparatus for identifying a performance period, comprising:

a fitness cycle identification module that identifies progression through a plurality of fitness cycles, each of the plurality of fitness cycles encompassing a period from the beginning of a stimulus through recovery from the stimulus; and

a performance period identification module that predicts optimal performance periods based on the plurality of fitness cycles.

2. The apparatus of claim 1, further comprising a fatigue level module that detects a fatigue level occurring in response to the stimulus.

3. The apparatus of claim 2, further comprising a recovery module that determines a recovery level based at least in part, on the fatigue level.

4. The apparatus of claim 2, further comprising an archive for storing learned user characteristics including at least a fatigue profile of a user.

5. The apparatus of claim 4, wherein the fatigue level module and the recovery module detect the fatigue level and determine the recovery level, respectively, based upon heart rate variability and the learned user characteristics.

6. The apparatus of claim 1, wherein the fitness cycle identification module further presents data associated with the plurality of fitness cycles in at least one of a numerical, descriptive, or visual manner.

7. The apparatus of claim 6, wherein the plurality of fitness cycles are either contiguous or non-contiguous in time.

8. The apparatus of claim 1, wherein the performance period identification module predicts the optimal performance periods by determining periods of time predicted to occur within each of the plurality of fitness cycles during which experiencing additional stimuli promotes future increased fitness levels.

9. A method of identifying a performance period, comprising:

determining heart rate variability data of a user;

identifying a fitness cycle comprising a period of time beginning from a stimulus and progressing through recovery from fatigue experienced in response to the stimulus based on the heart rate variability data and learned user characteristics; and

determining an optimal performance period within the fitness cycle.

10. The method of claim 9, further comprising detecting a fatigue level associated with the fatigue experienced in response to the stimulus.

11. The method of claim 10, wherein the determining of the optimal performance period comprises determining a period during which the fatigue experienced falls within a range of fatigue level values corresponding to a period of recovery within the fitness cycle.

12. The method of claim 10, further comprising determining a recovery level based at least in part, on the fatigue level.

13. The method of claim 12, further comprising periodically detecting the fatigue level to determine the recovery level.

14. The method of claim 9, further comprising presenting data associated with the fitness cycle in at least one of a numerical, descriptive, or visual manner.

15. The method of claim 14, further comprising presenting data associated with the optimal performance period in conjunction with the data associated with the fitness cycle.

16. A system for identifying a performance period, comprising:

a processor; and

a non-transitory computer readable medium including computer program code, the non-transitory computer readable medium and the computer program code adapted to, with the processor, cause the system to;

detect a fatigue level associated with fatigue experienced in response to a stimulus;

determine a recovery level based at least in part, on the fatigue level;

identify a fitness cycle, the fitness cycle comprising a segment of time beginning from the stimulus and progressing through recovery from the fatigue experienced in response to the stimulus; and

predict an optimal performance period based on the identification of the fitness cycle.

17. The system of claim 16, wherein the non-transitory computer readable medium and the computer program code adapted to, with the processor, further cause the system to monitor a movement to determine if the movement is indicative of the stimulus.

18. The system of claim 17, wherein the non-transitory computer readable medium and the computer program code adapted to, with the processor, cause the system to detect the fatigue level and determine recovery level based on heart rate variability data and learned user characteristics.

19. The system of claim 17, wherein the non-transitory computer readable medium and the computer program code adapted to, with the processor, further cause the system to present data associated with the fatigue level, and the recovery level to characterize the identified fitness cycle in at least one of a numerical, descriptive, or visual manner.

20. The system of claim 17, wherein the non-transitory computer readable medium and the computer program code adapted to, with the processor, further cause the system to present data associated with the optimal performance period in conjunction with the data characterizing the identified fitness cycle.