基于可穿戴传感器的人体活动识别研究综述

Review of human activity recognition based on wearable sensors

人体活动识别(HAR)在医疗、安全、娱乐等方面有着广泛的应用。随着传感器器件的发展,各类能准确采集人体行为活动数据的传感器在手环、手表、手机等可穿戴设备上得到了广泛使用,相比基于视频图像的行为识别方法,基于传感器的行为识别具有成本低、灵活、可移植性好的特点,因此,基于可穿戴传感器的人体活动识别研究成为行为识别中的研究热点。介绍了人体活动识别研究中原始数据采集、特征提取、特征选择以及分类方法,对识别流程中每一部分常用的技术以及研究现状进行了综述总结,最后分析人体活动识别研究当前存在的主要问题并展望了今后可能的研究方向。

Human Activity Recognition（ HAR） has a wide range of applications in medical care, safety, and entertainment. With the development of sensor industry, sensors that can accurately collect human activity data have been widely used on wearable equipments such as wristband, watch and mobile phones. Compared with the behavior recognition method based on video images, sensor-based behavior recognition has the characteristics of low cost, flexibility and portability.Therefore, human activity recognition research based on wearable sensors has become an important research field. Data collection, feature extraction, feature selection and classification methods of HAR were described in detail, and the techniques commonly used in each process were analyzed. Finally, the main problems of HAR and the development directions were pointed out.