Accelerometer-based user interface leakage detection
AssigneeResMed Digital Health Inc.
InventorMichael BRODERICK
Life of this patent
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Abstract
A method for analyzing user interface leakage includes receiving, at a computing device, motion data associated with orientation of a user interface worn by a user during a sleep session. The method also includes analyzing the motion data to identify leak data. The leak data indicative of at least one unintentional leak from the user interface. The method also includes generating a notification based at least in part on the leak data, the notification indicative of the presence of the at least one unintentional leak. The notification can provide guidance to reduce, minimize or eliminate the unintentional leak.
Claims25
A method for analyzing user interface leakage, comprising:
- receiving, at a computing device, motion data associated with orientation of a user interface worn by a user during a sleep session;
- analyzing the motion data to identify leak data, the leak data indicative of at least one unintentional leak from the user interface;
- and
- generating a notification based at least in part on the leak data, the notification indicative of the presence of the at least one unintentional leak.
A system comprising:
- one or more motion sensors coupled to a user interface worn by a user during a sleep session, the user interface fluidly coupled to a respiratory therapy device for providing a flow of air from the respiratory therapy device to a respiratory system of the user;
- one or more processors;
- and
- a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more processors, cause the one or more processors to perform operations including:
- receiving, at a computing device, motion data associated with orientation of the user interface;
- analyzing the motion data to identify leak data, the leak data indicative of at least one unintentional leak from the user interface;
- and
- generating a notification based at least in part on the leak data, the notification indicative of the presence of the at least one unintentional leak.
Dependencies are inferred from the claim text.