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DETECTION OF PHYSICAL ABUSE OR NEGLECT USING DATA FROM EAR-WEARABLE DEVICES

机译:使用可穿戴设备中的数据检测身体虐待或疏忽

摘要

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.
机译:系统可获得一组特征,这些特征表征由可穿戴设备的IMU生成的惯性测量单元(IMU)数据的片段。该系统可以应用机器学习模型(MLM),该模型采用表征IMU数据段的特征作为输入。系统可以基于由MLM产生的输出值来确定可穿戴式设备的用户是否已经潜在地遭受身体虐待。然后,系统可以响应于确定可穿戴设备的用户潜在地受到身体虐待而执行动作。

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