Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (1): 23-28.DOI: 10.3778/j.issn.1002-8331.1809-0016

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Development of Human Action Feature Recognition Using Sensors

JING Yuan1,2, JI Aihong2, ZHANG Xiyuan2,3, SONG Yawei4, CHEN Weifeng1   

  1. 1.School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China
    2.Institute of Bio-inspired Structure and Surface Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
    3.College of Olympic, Nanjing Sport Institute, Nanjing 210000, China
    4.Department of Sports & Health Science, Nanjing Sport Institute, Nanjing 210014, China
  • Online:2019-01-01 Published:2019-01-07


景  元1,2,吉爱红2,张曦元2,3,宋雅伟4,陈炜峰1   

  1. 1.南京信息工程大学 自动化学院,南京 210044
    2.南京航空航天大学 仿生结构与材料防护研究所,南京 210016
    3.南京体育学院 奥林匹克学院,南京 210000
    4.南京体育学院 运动健康科学系,南京 211014

Abstract: The recognition of human action feature has a widely use for medical health, man-machine interaction, sport competition and so on. Firstly, the common sensors and methods for motion data acquisition are introduced. Secondly, the general methods for motion data preprocessing are briefly described. And then, the feature extraction of motion data is introduced. Then the research status of feature recognition is pointed out, and the application status is briefly described. Finally, the problems faced in the current and the future development are put forward.

Key words: human action, recognition of feature, acceleration sensor, pressure sensor, electromyography

摘要: 人体运动行为特征识别在医疗健康、人机接口、体育竞技等诸多领域都有广泛应用。介绍了常见的用于运动数据采集的传感器和相应方法,简述了运动数据预处理的一般手段;介绍了运动数据特征提取的过程,重点描述了常见运动行为特征识别方法的研究现状,并简述其应用现状。最后,指出了目前运动行为特征识别中所面临的问题,并给出了未来的发展方向。

关键词: 人体运动行为, 特征识别, 加速度传感器, 压力传感器, 肌电信号