System and method for identifying performance days using earphones with biometric sensors

• US 10,078,734 B2
• Filed: 09/30/2015
• Issued: 09/18/2018
• Est. Priority Date: 10/24/2013
• Status: Active Grant

• Current Assignee: Logitech Europe S A (Logitech International SA)
• Original Assignee: Logitech Europe S A (Logitech International SA)
• Inventors: Wisbey, Ben, Shepherd, David, Duddy, Stephen
• Primary Examiner(s): McCulloch, Jr., William H
• Application Number:
  US14/871,822
• Publication Number:
  US 20160026856A1
• Time in Patent Office: 1,084 Days
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/63 for local operation

Abstract

Systems and methods are provided for using earphones with biometric sensors to identify and present information regarding performance periods. 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. A system for identifying a performance period, comprising:

a pair of earphones comprising;

speakers;

a processor; and

a heartrate sensor electrically coupled to the processor, wherein the processor is configured to process electronic input signals from the heartrate sensor; and

a non-transitory computer-readable medium operatively coupled to at least one of one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to;

identify the user'"'"'s fitness level progression through a plurality of fitness cycles, each fitness cycle of the plurality of fitness cycles comprises a stimulus, a workout activity type, a workout activity period, and a recovery period, wherein identifying the user'"'"'s fitness level progression through a plurality of fitness cycles is based in part on determining a fatigue level of the user in each fitness cycle based on signals generated by the heartrate sensor;

predict a duration and possible activity types for an optimal future performance period for a future fitness cycle, where the optimal future performance period is calculated based on an interpretive recovery score for each workout activity type detected during the plurality of fitness cycles and a detected current fatigue level, wherein the optimal future performance period begins during the recovery period of a fitness cycle, and wherein the interpretive recovery score is a proportion of a user'"'"'s fatigue level, wherein the proportion is calculated based on assigned values within a predefined numerical range that are assigned to each of at least one of the user activity type, user activity intensity, duration of user'"'"'s recent activity and statistical information pertaining to the user'"'"'s prior activities; and

display a recommendation based on the determined predicted optimal future performance period.

2. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to determine the current fatigue level occurring in response to the stimulus, wherein the current fatigue level is determined based on signals generated by the heartrate sensor.

3. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to determine a recovery level based at least in part, on the fatigue level.

4. The system of claim 1, further comprising a memory, wherein the memory stores an archive comprising learned user characteristics including at least the historical fatigue information of the user.

5. The system of claim 3, wherein the fatigue level and the recovery level are determined based upon the user'"'"'s heart rate variability and the learned user characteristics, wherein the user'"'"'s heart rate variability is determined based on the signals generated by the heartrate sensor.

6. The system of claim 1, wherein the recommendation delivered to the user based on the predicted optimal future performance period is displayed textually, numerically or graphically.

7. The system of claim 1, wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphone proximal to an interior side of a user'"'"'s ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user'"'"'s blood flow and to output an electrical signal representative of this measurement to the earphones processor.

8. The system of claim 1, wherein predicting optimal future performance periods comprises determining periods of time predicted to occur within the recovery period of each of the plurality of fitness cycles during which experiencing additional stimuli promotes future increased fitness levels.

9. The system of claim 1, wherein the pair of earphones further comprise a motion sensor, wherein the earphones processor is configured to process electronic input signals from the motion sensor, and wherein the instructions, when executed by at least one of the one or more processors, further cause the system to monitor a movement of the user based on signals generated by the motion sensor to determine if the movement is indicative of the stimulus.

10. A method of identifying a performance period using earphones with one or more biometric sensors, comprising:

determining heart rate variability data of a user based on signals generated by a heartrate sensor of the earphones;

storing the heart rate variability data in a memory;

identifying a fitness cycle comprising a stimulus, a workout activity type, a workout activity period, and a recovery period determined from fatigue experienced in response to the stimulus, wherein the determined fatigue is based on the heart rate variability data and learned user characteristics stored in a memory; and

determining a duration and possible activity type for an optimal future performance period within the fitness cycle calculated based on an interpretive recovery score and a detected current fatigue level, wherein the optimal future performance period begins during the recovery period, and wherein the interpretive recovery score is a proportion of a user'"'"'s fatigue level, wherein the proportion is calculated based on assigned values within a predefined numerical range that are assigned to each of at least one of the user activity type, user activity intensity, duration of user'"'"'s recent activity and statistical information pertaining to the user'"'"'s prior activities; and

displaying a recommendation based on the determined predicted optimal future performance period.

11. The method of claim 10, further comprising determining a fatigue level based on the determined fatigue experienced in response to the stimulus, wherein the fatigue level is detected based on the signals generated by the heartrate sensor.

12. The method of claim 11, wherein the determining of the optimal future 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.

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

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

15. The method of claim 10, wherein the recommendation based on the determined predicted optical future performance period is displayed textually, numerically or graphically.

16. The method of claim 15, wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphones proximal to an interior side of a user'"'"'s ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user'"'"'s blood flow and to output an electrical signal representative of this measurement.

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

a pair of earphones comprising;

speakers;

a processor; and

a heartrate sensor electrically coupled to the processor, wherein the processor is configured to process electronic input signals from the heartrate sensor; and

a non-transitory computer-readable medium operatively coupled to at least one of one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to;

determine a fatigue level associated with fatigue experienced in response to a stimulus, wherein the fatigue level is determined based in part on signals generated by the heartrate sensor;

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

identify a fitness cycle, the fitness cycle comprising a stimulus, a workout activity type, a workout activity period, and a recovery period determined from the fatigue experienced in response to the stimulus;

predict a duration and possible activity type for an optimal future performance period based on the identification of the fitness cycle, a detected current fatigue level, wherein the optimal future performance period begins during the recovery period, and wherein the interpretive recovery score is calculated by determining a proportion of a user'"'"'s fatigue level, wherein the proportion is calculated based on assigned values within a predefined numerical range that are assigned to each of at least one of the user activity type, user activity intensity, duration of user'"'"'s recent activity and statistical information pertaining to the user'"'"'s prior activities; and

display a recommendation based on the determined predicted optimal future performance period.

18. The system of claim 17, wherein the pair of earphones further comprise a motion sensor, wherein the earphones processor is configured to process electronic input signals from the motion sensor, and wherein the instructions, when executed by at least one of the one or more processors, further cause the system to monitor a movement of the user based on signals generated by the motion sensor to determine if the movement is indicative of the stimulus.

19. The system of claim 18, wherein the fatigue level and the recovery level are determined based upon the user'"'"'s heart rate variability and learned user characteristics, wherein the user'"'"'s heart rate variability is determined based on the signals generated by the heartrate sensor.

20. The system of claim 18, wherein the recommendation based on the optimal future performance period and data characterizing the identified fitness cycle is presented to a user via an electronic display.