Systems, methods and devices for providing an exertion recommendation based on performance capacity

Patent metadata

Field	Value
Publication number	US-10129628-B2
Application number	US-201615012776-A
Country	US
Kind code	B2
Filing date	Feb 1, 2016
Priority date	Feb 1, 2016
Publication date	Nov 13, 2018
Grant date	Nov 13, 2018

Abstract

Systems, methods, and devices are provided for determining an exertion recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically 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 execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular). Further, the instructions are executed to generate an exertion recommendation based on an exertion model created from and representing a relationship between prior exertion measures and prior response profile measures.

First claim

What is claimed is:

1. A system for providing an exertion recommendation, the system comprising:
a wearable device, comprising:
a heart rate sensor that is configured to monitor a heart rate of a user wearing the wearable device;
a motion sensor that is configured to monitor activity of the user wearing the wearable device;

a processor operatively coupled to the heart rate sensor and the motion sensor, the processor configured to process electronic signals generated by the heart rate sensor and the motion sensor and generate one or more of heart rate data and activity data therefrom; and
a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to:
generate an exertion load recommendation for an exercise session based on a targeted performance capacity, wherein the exertion load recommendation provides the user with a plan to attain the targeted performance capacity that is based on the user's capacity to perform exercise after completing the exercise session, wherein
the exertion load recommendation is generated from an exertion model that associates the user's exertion load to the user's performance capacity based on heart rate data and activity data collected from the wearable device during a plurality of previous exercise sessions when the wearable device was worn by the user, and
the exertion model is based on data from the heart rate monitored by the heart rate sensor and the activity monitored by the motion sensor;

determine the exertion load during the exercise session based on accumulating exercise intensity of the user during the exercise session, wherein the exercise intensity of the user is based on the heart rate data; and
provide the determined exertion load to the user during the exercise session.

2. The system of claim 1 , wherein the wearable device comprises one or more of an earphone and a wristband.

3. The system of claim 1 , wherein the heart rate sensor comprises one or more of a finger heart rate sensor, a wrist heart rate sensor, and an optical heartrate sensor.

4. The system of claim 1 , wherein the heart rate data includes one or more of a heart rate and a heart rate variability.

5. The system of claim 1 , wherein the exertion recommendation is further based on the amount of time the exercise session is anticipated to take.

6. The system of claim 1 , further comprising:
a first wireless transceiver embedded in the wearable device;
a computing device; and
a second wireless transceiver embedded in the computing device operatively coupled to the wearable device, wherein the first and second wireless transceivers are configured to receive and send one or more of the heart rate data and the activity data.

7. The system of claim 1 , wherein the exertion model associates the user's exertion load to changes in the user's performance capacity over a duration of each exercise session.

8. A system for providing an exertion recommendation, the system comprising:
an electronic clock configured to monitor time;
a wearable device, comprising:
a heart rate sensor that is configured to monitor a heart rate of a user wearing the wearable device;
a motion sensor that is configured to monitor activity of the user wearing the wearable device;

a processor operatively coupled to the heart rate sensor and the motion sensor, the processor configured to process electronic signals generated by the heart rate sensor and the motion sensor and generate one or more of heart rate data and activity data therefrom; and
a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to:
generate an exertion load recommendation for a future exercise session based on a targeted performance capacity that represents the user's capacity to perform exercise after completing the future exercise session, wherein the exertion load recommendation provides the user with a plan to attain the targeted performance capacity,
wherein the exertion load recommendation for the future exercise session is generated from an exertion model that associates the user's exertion load to the user's performance capacity based on heart rate data and activity data collected from the wearable device during a plurality of previous exercise sessions when the wearable device was worn by the user, and
the exertion model is based on data from the heart rate monitored by the heart rate sensor and the activity monitored by the motion sensor;

determine the exertion load during the future exercise session based on accumulating exercise intensity of the user during the future exercise session, wherein the exercise intensity of the user is based on the heart rate data; and
provide the determined exertion load to the user during the future exercise session.

9. The system of claim 8 , wherein the wearable device comprises one or more of an earphone and a wristband.

10. The system of claim 8 , wherein the heart rate sensor comprises one or more of a finger heart rate sensor, a wrist heart rate sensor, and an optical heartrate sensor.

11. The system of claim 8 , wherein the heart rate data includes one or more of a heart rate and a heart rate variability.

12. The system of claim 8 , wherein: the exertion model is further based on the amount of time taken to complete a previous exercise session as monitored by the electronic clock; and the exertion recommendation is further based on the amount of time the exercise session is anticipated to take.

13. The system of claim 8 , wherein the exertion model associates the user's exertion load to changes in the user's performance capacity over a duration of each exercise session.

14. The system of claim 8 , further comprising:
a first wireless transceiver embedded in the wearable device;
a computing device; and
a second wireless transceiver embedded in the computing device operatively coupled to the wearable device, wherein, the first and second wireless transceivers are configured to receive and send one or more of the heart rate data and the activity data.

15. A computer-implemented method for determining an exertion recommendation for an anticipated exercise session, the method comprising:
measuring a heart rate of a user during a plurality of exercise sessions using a heart rate sensor embedded in a wearable device;
measuring activity of a user during the plurality of exercise sessions using a motion sensor embedded in the wearable device;
generating heart rate data from the measured heart rate;
generating activity data from the measured activity;
generating a plurality of exercise intensity values during each exercise session based on the heart rate measured by the heart rate sensor and the activity measured by the motion sensor during that exercise session;
generating an exertion load value for each exercise session based on accumulating the plurality of exercise intensity values generated during that exercise session;
determining a change in performance capacity of the user that occurs as a result of the user performing each exercise session, wherein the performance capacity is the user's capacity to perform exercise;
generating an exertion model that associates the user's exertion load to the user's change in performance capacity based on the heart rate data and the activity data collected from the wearable device during the plurality of exercise sessions when the wearable device was worn by the user; and
generating an exertion load recommendation for a future exercise session based on a targeted performance ca

Assignees

• Logitech Europe Sa
• Logitech Europe Sa

Inventors

• Wisbey Ben
• Armstrong Judd
• Diesterbeck Hagen
• Shepherd David

Classifications

• A61B5/681

  Wristwatch-type devices · CPC title

• H04R2430/01

  Aspects of volume control, not necessarily automatic, in sound systems · CPC title

• A61B5/6803

  Head-worn items, e.g. helmets, masks, headphones or goggles · CPC title

• H04R2420/09

  Applications of special connectors, e.g. USB, XLR, in loudspeakers, microphones or headphones · CPC title

• G09B19/003

  Repetitive work cycles; Sequence of movements · CPC title