Methods and apparatus for coaching based on workout history and readiness/recovery information
View Patent ↗System and method for coaching based on workout history and/or readiness/recovery information. Improved solutions enable intelligent management of a user's personal fitness journey based on workout recommendations that closely align with the user's traits. In one exemplary embodiment, workout data for a population of different individuals is analyzed to identify groups of similarly performing individuals. Each group of individuals is analyzed to generate an expected profile that approximates the physiological and/or psychological traits of the group. An expected profile includes heuristics and/or performance metrics that enable dynamic coaching during workouts. Subsequently thereafter, users can be dynamically coached by their client device, based on the expected profile.
1. A method for dynamically coaching a user based on one or more readiness metrics, comprising:
obtaining the one or more readiness metrics from a first device of a user's personal community of devices;
obtaining a recommended workout and a profile from a server, where the recommended workout comprises a plurality of exercises and the profile comprises a performance metric;
adjusting the performance metric prior to the recommended workout based on the one or more readiness metrics;
monitoring a performance during the recommended workout at a second device of the user's personal community of devices, the second device configured to collect physiological data; and
when the performance does not match the adjusted performance metric, modifying at least one exercise of the recommended workout based on the profile.
2. The method of claim 1 , wherein the one or more readiness metrics comprises an amount or quality of sleep measured by the first device.
3. The method of claim 1 , wherein the one or more readiness metrics comprises an estimated caloric availability estimated by the first device.
4. The method of claim 1 , wherein the one or more readiness metrics comprises a subjective input provided by the user via the first device.
5. The method of claim 1 , further comprising adjusting the recommended workout based on a shortened available duration.
6. The method of claim 1 , further comprising providing dynamic feedback based on the one or more readiness metrics.
7. The method of claim 1 , further comprising causing a workout data record to be updated at the server based on the one or more readiness metrics.
8. A user apparatus, comprising:
a sensor configured to collect physiological data;
a user interface;
a network interface configured to communicate with a community of user devices;
a processor; and
a non-transitory computer-readable medium comprising one or more instructions, which when executed by the processor, causes the user apparatus to:
collect the physiological data via the sensor;
generate a readiness metric based on the physiological data; and
provide the readiness metric to a first device of the community of user devices prior to a scheduled recommended workout comprising a plurality of exercises;
wherein the readiness metric causes the first device to adjust a performance metric prior to the scheduled recommended workout based on the readiness metric.
9. The user apparatus of claim 8 , wherein the readiness metric comprises an amount or quality of sleep measured before the scheduled recommended workout.
10. The user apparatus of claim 8 , wherein the readiness metric is based on a step count measured before the scheduled recommended workout.
11. The user apparatus of claim 8 , wherein the readiness metric is estimated based on subjective user input.
12. The user apparatus of claim 8 , wherein the user apparatus comprises a sleep tracking device and the first device of the community of user devices comprises a smart phone.
13. The user apparatus of claim 8 , wherein the user apparatus comprises a smart watch and the first device of the community of user devices comprises a smart phone.
14. The user apparatus of claim 8 , wherein the user apparatus comprises a smart shoe and the first device of the community of user devices comprises a smart phone.
15. A user apparatus, comprising:
a sensor configured to collect physiological data;
a user interface;
a network interface configured to communicate with a community of user devices;
a processor; and
a non-transitory computer-readable medium comprising one or more instructions, which when executed by the processor, causes the user apparatus to:
collect a readiness metric via the community of user devices;
obtain a recommended workout comprising a plurality of exercises and a profile comprising a performance metric;
adjust the performance metric prior to the recommended workout based on the readiness metric;
monitor performance during the recommended workout based on the physiological data; and
modify at least one exercise of the recommended workout based on the profile and the readiness metric.
16. The user apparatus of claim 15 , wherein at least one device of the community of user devices comprises a sleep tracking sensor;
wherein the readiness metric comprises an amount or quality of sleep measured before the recommended workout.
17. The user apparatus of claim 15 , wherein the one or more instructions, when executed by the processor, further causes the user apparatus to:
log one or more consumption events; and
estimate the readiness metric based on the one or more consumption events before the recommended workout.
18. The user apparatus of claim 15 , wherein the one or more instructions, when executed by the processor, further causes the user apparatus to:
solicit subjective user input prior to the recommended workout; and
estimate the readiness metric based on the subjective user input.
19. The user apparatus of claim 15 , wherein at least one device of the community of user devices comprises a smart shoe;
wherein the readiness metric comprises a step count measured before the recommended workout.
20. The user apparatus of claim 15 , wherein at least one device of the community of user devices comprises a smart watch;
wherein the readiness metric comprises a subjective user input obtained before the recommended workout.