综述了基于可穿戴传感器的人体活动识别系统的传感器选择、传感器设备和传感器部署

Hongnian Yu, S. Cang, Yan Wang
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引用次数: 33

摘要

数据预处理、特征选择和分类算法是人类活动识别研究的主要内容。本文对可穿戴式数据驱动HAR的关键阶段数据采集进行了简要介绍。综述的重点是传感器类型的确定,传感器设备的模式,传感器部署和数据收集。这项工作旨在为HAR的基础部分提供全面和详细的指导,并突出与所审查主题相关的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems
Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.
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