System and method for identifying performance days
First Claim
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.
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Accused Products
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.
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Citations
19 Claims
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1. An apparatus for identifying a performance period, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of identifying a performance period, comprising:
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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. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A system for identifying a performance period, comprising:
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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. - View Dependent Claims (17, 18, 19)
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Specification