System and method for determining performance capacity

1. A system for determining performance capacity, the system comprising:

a wearable device, comprising:

a biosensor configured to measure biometrics including a heart rate of a user; and

a motion sensor configured to monitor activity of the user;

a processor coupled to the biosensor and the motion sensor, the processor configured to process electronic signals generated by the biosensor and the motion sensor; and

a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to:

generate biometric data including a heart rate variability (HRV) of the user from the biometrics of the user measured by the biosensor;

generate activity data from the activity of the user monitored by the motion sensor;

generate a predicted HRV score of the user when a signal for determining the heart rate of the user from the biosensor is unavailable, wherein the predicted HRV score is based on the generated biometric data and the generated activity data;

generate a fatigue score from the generated activity data;

create a response profile for the user based on the fatigue score and the predicted HRV score; and

provide the response profile to the user, wherein the response profile indicates a capacity of the user to perform an activity.

2. The system of claim 1 , wherein

the wearable device comprises one of earphones and a band, and

the biosensor comprises finger and wrist biosensors or an optical heartrate sensor.

3. The system of claim 1 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:

determine a fatigue value based on the combination of a previous fatigue value with a first difference calculated by the processor, the first difference being between a previous activity value and the previous fatigue value, the first difference being scaled by a fatigue decay, the previous activity value being derived from the activity data;

calculate an average fatigue value based on a set of the fatigue values previously determined;

calculate a fatigue value variation based on the set of the fatigue values previously determined;

calculate the fatigue score based on a second difference calculated by the processor, the second difference being between the average fatigue value and the fatigue value, the second difference being scaled by the fatigue value variation; and

provide the fatigue value to the user.

4. The system of claim 3 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:

maintain, for a previous measuring period, an aggregation of the calculated fatigue scores and an aggregation of the activity data;

create a fatigue model derived from a correlation of the aggregation of calculated fatigue scores with the aggregation of the activity data; and

use the fatigue model to generate the predicted fatigue score based on the activity data.

5. The system of claim 1 , further comprising circuits that receive and process electrical signals from the biosensor, wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:

generate the biometric data based on the electrical signals as processed by the circuits;

calculate a current HRV value from the biometric data; and

calculate an average HRV value based on a set of HRV values previously calculated;

calculate variation in the HRV value based on the set of the HRV values previously calculated; and

calculate the HRV score based on a difference between the average HRV value and the current HRV value, the difference being scaled by the variation in the HRV value.

6. The system of claim 5 , wherein the non-transitory computer-readable medium further stores instructions that, when executed, cause the processor to:

maintain, for a previous measuring period, an aggregation of the calculated HRV scores and an aggregation of the activity data;

create an HRV model derived from a correlation of the aggregation of the calculated HRV scores with the aggregation of the activity data; and

use the HRV model to generate the predicted HRV score based on the activity data.

7. The system of claim 1 , wherein the wearable device comprises earphones, wherein the earphones are used to provide the response profile to the user in an audio format.

8. The system of claim 1 , wherein the wearable device comprises a band, wherein the band is used to provide the response profile to the user in a visual format.

9. The system of claim 1 , wherein the predicted HRV score of the user is generated when a signal for determining the heart rate of the user from the biosensor is unavailable for at least a period of 24 hours.