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Consumer Sleep Technology
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Patent US10325514
Issued 2019-06-18
Systems And Techniques For Tracking Sleep Consistency And Sleep Goals
Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.
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- 1. A system for setting a sleep schedule of a user of a wearable biometric monitoring device, the wearable biometric monitoring device comprising one or more sensors, the system comprising:
one or more processors; and a memory, wherein:
the one or more processors are communicatively connected with the memory, and
the memory stores instructions that, when executed, cause the one or more processors to:
obtain sleep data derived from sensor data generated by the one or more sensors in the wearable biometric monitoring device, the sensor data including data generated by at least one of the one or more sensors in the wearable biometric monitoring device responsive to movement of the user of the wearable biometric monitoring device, the sleep data including data regarding a plurality of sleep sessions and specifying various sleep states of the user for the respective sleep sessions, wherein the data generated by the at least one of the one or more sensors of the wearable biometric monitoring device is generated during each of the sleep sessions while the wearable biometric monitoring device is being worn by the user,
store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, the sleep log data store also storing other sleep logs including other sleep data derived from other sensor data generated by one or more other sensors in other wearable biometric monitoring devices of other users, the other sensor data including other data generated by at least one of the one or more other sensors in the other wearable biometric monitoring devices responsive to movements by the other users of the other wearable biometric monitoring devices, and
calculate a target bedtime based on a scheduled waketime of the user and a selected sleep duration of the user weighted by a factor based on a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store.
- 22. A system for setting a sleep schedule of a user of a wearable biometric monitoring device, the wearable biometric monitoring device comprising one or more sensors, the system comprising:
one or more processors; and a memory, wherein:
the one or more processors are communicatively connected with the memory, and
the memory stores instructions that, when executed, cause the one or more processors to:
obtain sleep data derived from sensor data generated by the one or more sensors in the wearable biometric monitoring device, the sensor data including data generated by at least one of the one or more sensors in the wearable biometric monitoring device responsive to movement of the user of the wearable biometric monitoring device, the sleep data including data regarding a plurality of sleep sessions and specifying various sleep states of the user for the respective sleep sessions, wherein the data generated by the at least one of the one or more sensors of the wearable biometric monitoring device is generated during each of the sleep sessions while the wearable biometric monitoring device is being worn by the user,
store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, the sleep log data store also storing other sleep logs including other sleep data derived from other sensor data generated by one or more other sensors in other wearable biometric monitoring devices of other users, the other sensor data including other data generated by at least one of the one or more other sensors in the other wearable biometric monitoring devices responsive to movements by the other users of the other wearable biometric monitoring devices, and
calculate a target bedtime using a regression model that is based on the scheduled waketime of the user and the sleep data for one or more users stored in the sleep log data store, wherein the sleep data for the one or more users stored in the sleep log data store and on which the regression model is, at least in part, based accounts for a sleep efficiency of each sleep session.
