Patent ID: 11937943
Assignee: STARKEY LABORATORIES, INC.
Field: Medical technology (Instruments)
Classification: CPC A  H  G | IPC A  G  H

Claim 0:
1. A method comprising:
obtaining, by one or more processing circuits, a first set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device;
obtaining, by the one or more processing circuits, a second set of features, wherein the second set of features characterizes a segment of audio data generated by the ear-wearable device or another ear-wearable device concurrently worn by a user of the ear-wearable device;
applying, by the one or more processing circuits, a machine learning model (MLM) that takes the first set of features and the second set of features as input;
determining, by the one or more processing circuits, based on output values produced by the MLM, whether the user of the ear-wearable device has potentially been subject to improper care; and
performing, by the one or more processing circuits, an action in response to determining that the user of the ear-wearable device has potentially been subject to improper care, wherein:
the MLM is an artificial neural network that includes a plurality of output neurons, the plurality of output neurons including a separate output neuron for each type of improper care in a plurality of types of improper care,
applying the MLM comprises applying the artificial neural network, wherein applying the artificial neural network comprises generating an output value for each of the output neurons of the artificial neural network, and
determining whether the user of the ear-wearable device has potentially been subject to improper care comprises determining, by the one or more processing circuits, based on the output values produced by the output neurons of the artificial neural network, whether the user of the ear-wearable device has potentially been subject to a type of improper care in the plurality of the types of improper care.