Smart ring system for monitoring sleep patterns and using machine learning techniques to predict high risk driving behavior
AssigneeQuanata, LLC
InventorKenneth Jason Sanchez
Life of this patent
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Abstract
A method can include acquiring, by a sensor of a sleep detecting device, a set of user data indicative of sleep activity of a user. The method further can include acquiring data indicative of an activity of the user. The method also can include predicting, based at least on the set of user data and the activity of the user, a level of risk exposure for the activity of the user. The method also can include in response to predicting, generating an output indicative of the level of risk exposure of the user. Other embodiments are disclosed herein.
Claims20
A method comprising:
- acquiring, by a sensor of a sleep detecting device, a set of user data indicative of sleep activity of a user;
- acquiring data indicative of an activity of the user;
- predicting, based at least on the set of user data and the activity of the user, a level of risk exposure for the activity of the user;
- and
- in response to predicting, generating an output indicative of the level of risk exposure of the user.
A system comprising one or more processors configured to perform operations comprising:
- acquiring, by a sensor of a sleep detecting device, a set of user data indicative of sleep activity of a user;
- acquiring data indicative of an activity of the user;
- predicting, based at least on the set of user data and the activity of the user, a level of risk exposure for the activity of the user;
- and
- generating an output indicative of the level of risk exposure of the user.
One or more non-transitory computer-readable media comprising computing instructions that, when executed on one or more processors, cause the one or more processors to perform operations comprising:
- acquiring, by a sensor of a sleep detecting device, a set of user data indicative of sleep activity of a user;
- acquiring data indicative of an activity of the user;
- predicting, based at least on the set of user data and the activity of the user, a level of risk exposure for the activity of the user;
- and
- in response to predicting, generating an output indicative of the level of risk exposure of the user.
Dependencies are inferred from the claim text.