System and method for identifying performance days

Patent metadata

Field	Value
Publication number	US-9864843-B2
Application number	US-201314140411-A
Country	US
Kind code	B2
Filing date	Dec 24, 2013
Priority date	Oct 24, 2013
Publication date	Jan 9, 2018
Grant date	Jan 9, 2018

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.

First claim

What is claimed is:

1. An apparatus for identifying a performance period, comprising:
one or more sensors configured to be worn by a user, the one or more sensors configured to monitor movement of the user associated with a fitness activity;
a fitness cycle identification module that is configured to identify progression of the user through a plurality of fitness cycles based on signals from the one or more sensors, each of the plurality of fitness cycles encompassing a period from a beginning of a stimulus associated with the fitness activity through recovery from the stimulus; and
a performance period identification module that is configured to predict optimal performance periods for the user to begin performing the fitness activity based on data collected by the one or more sensors during the plurality of fitness cycles and data collected relating to a current fatigue level of the user.

2. The apparatus of claim 1 , wherein the one or more sensors includes a heart rate variability sensor that is adapted to provide at least a portion of the data used to determine the current fatigue level of the user.

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

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

5. The apparatus of claim 4 , further comprising a recovery module that determines a recovery level based at least in part, on the current fatigue level of the user, wherein the recovery module is configured to determine the recovery level based upon heart rate variability and the set of one or more learned user characteristics.

6. The apparatus of claim 1 , wherein the fitness cycle identification module is further configured to present 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 fitness activity comprises cycling, running or walking.

8. The apparatus of claim 1 , wherein the performance period identification module is configured to predict 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:
monitoring movement of a user by using a first sensor worn by the user;
determining the user is performing a fitness activity based on signals from the first sensor;
determining heart rate variability data of the user by using a second sensor worn by the user;
identifying one or more fitness cycles of the user, each fitness cycle comprising a period of time beginning from a stimulus associated with the fitness activity and progressing through recovery from fatigue experienced in response to the stimulus associated with the fitness activity and each fitness cycle is identified based on the monitored movement of the user, the heart rate variability data and a set of one or more learned user characteristics;
determining an optimal performance period for the user to begin performing the fitness activity based on data collected by the second sensor during the one or more fitness cycles and data collected relating to a current fatigue level of the user; and
performing the fitness activity by the user during the optimal performance period.

10. The method of claim 9 , wherein the data relating to the current fatigue level is determined based on the heart rate variability data of the user.

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

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

13. The method of claim 12 , further comprising periodically detecting the current 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 first sensor configured to be worn by a user, the first sensor configured to monitor movement of the user associated with a fitness activity;
a second sensor configured to monitor a heart rate variability of the user
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:
monitor movement of a user by using the first sensor worn by the user;
determine the user is performing a fitness activity based on signals received from the first sensor;
detect a current fatigue level associated with fatigue experienced in response to the fitness activity;
determine a recovery level based at least in part, on the current fatigue level;
identify one or more fitness cycles, each fitness cycle comprising a segment of time beginning from a stimulus associated with the fitness activity and progressing through recovery from the fatigue experienced in response to the stimulus;
predict an optimal performance period for the user to begin performing the fitness activity based on data collected during the one or more fitness cycles and data collected relating to a current fatigue level of the user; and
determine the user is performing the fitness activity during the optimal performance period based on signals received from the first sensor.

17. The system of claim 16 , wherein the non-transitory computer readable medium and the computer program code are adapted to, with the processor, cause the system to detect the fatigue level and determine recovery level based on heart rate variability data and a set of one or more learned user characteristics.

18. The system of claim 16 , wherein the non-transitory computer readable medium and the computer program code are 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.

19. The system of claim 16 , wherein the non-transitory computer readable medium and the computer program code are 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.

Assignees

• Logitech Europe Sa
• Logitech Europe Sa

Inventors

• Wisbey Ben
• Shepherd David

Classifications

• G06F19/3481 Primary

  Physics · mapped topic

• G16H20/30 Primary

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• G16H20/10

  relating to drugs or medications, e.g. for ensuring correct administration to patients · CPC title