Detection of physical abuse or neglect using data from ear-wearable devices

This invention uses data from an ear-wearable device to detect potential physical abuse or neglect. It specifically looks at movement data from the device's internal sensors and audio data, either from the ear-wearable itself or another nearby device. A computer program analyzes this information to identify signs of improper care, such as a user not moving for a long time, missing scheduled activities like medication or meals, or being deprived of the device.

Why it matters: Since 2023, advancements in on-device machine learning and sensor fusion for ear-wearable devices have made real-time analysis of IMU and audio data more efficient. This could improve the accuracy and reduce the power consumption for continuous monitoring and detection of specific care deviations outlined in the claims.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: ModerateEar-wearable device, software logic, machine learning model

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