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Real-Time Human Activity Recognition Engine

机译:实时人类活动识别引擎

摘要

A real-time human activity recognition (rtHAR) engine embedded in a wearable device monitors a user's activities through the wearable device's sensors. The rtHAR uses the signals from the sensors to determine where the wearable device is relative to the user's body, and then determines the type of activity the user engages in depending upon the location of the wearable device relative to the user's body. The rtHAR is preferably installed on the wearable device as an embedded system, such as an operating system library or a module within software installed on the wearable device, so as to improve the quality of direct feedback from the wearable device to the user, and to minimize the amount of data sent from the wearable device to external archival and processing systems.
机译:嵌入在可穿戴设备中的实时人类活动识别(rtHAR)引擎通过可穿戴设备的传感器监视用户的活动。 rtHAR使用来自传感器的信号来确定可穿戴设备相对于用户身体的位置,然后根据可穿戴设备相对于用户身体的位置来确定用户参与的活动类型。 rtHAR优选作为嵌入式系统安装在可穿戴设备上,例如操作系统库或安装在可穿戴设备上的软件中的模块,以提高从可穿戴设备向用户的直接反馈的质量,以及最小化从可穿戴设备发送到外部档案和处理系统的数据量。

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