Proximity and liveness detection using an ultrasonic transceiver
AssigneeInvenSense, Inc.
InventorsRichard Przybyla, Daniela Hall, Mitchell Kline
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AssigneeInvenSense, Inc.
InventorsRichard Przybyla, Daniela Hall, Mitchell Kline
Estimating the term…
Devices and methods are provided that facilitate proximity or liveness detection of a user of a wearable device or a user interacting with a device based on ultrasonic information. In various embodiments, machine learning classifier models can be employed to generate classification predictions of a donned or a doffed state of a wearable device. In various aspects, a gated-recurrent unit (GRU) recursive neural network (RNN) can be employed as a machine learning classifier model. In other aspects, a liveness detection classifier decision tree can be employed as a machine learning classifier model. Power states or operating modes for associated devices can be selected based on the proximity or liveness of the user of the wearable device, as an example.
An apparatus, comprising:
A method, comprising:
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