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Vicon运动捕捉系统在人行走过程中左右踝关节运动特征的研究 被引量:3

Study on the Characteristics of Left and Right Ankle Joints in Vicon Motion Capture System During Human Walking
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摘要 本文通过对人行走时踝关节运动轨迹进行记录和分析,研究其稳定性、左右对称性和不同人之间的差异性,为步态识别提供科学依据。运用Vicon运动捕捉系统,采集20位研究对象正常行走时踝关节运动过程中的相关的时间、空间数据,并进行了分析。通过对数据进行观察和分析发现,正常行走时,同一人踝关节在上下方向运动具有稳定性;同一人左、右踝关节运动存在对称性;不同人之间差异明显。本研究证明了人行走时踝关节运动特征具有稳定性、左右对称性和不同人之间的差异性,为认定和排除特定人提供了理论支撑,为步态识别提供了依据,也为研究人的行走运动特征提供了新的方法和思路。 This paper records and analyses the trajectory of ankle joint during walking,and studies its stability,left and right symmetry and the difference between different people,and provides a scientific basis for gait recognition. The Vicon motion capture system was used to collect the related time and space data of the ankle joint movement during the normal walking of 20 subjects,and the analysis was carried out. Through the observation and analysis of the data, it is found that the same person's ankle joint is stable in the upper and lower direction when walking normally;there is symmetry in the movement of the left and right ankle joint of the same person;the difference between different people is obvious. This study proves that walking characteristics of ankle joint are stable,left and right symmetry and differences between different people. It provides theoretical support for identification and exclusion of specific people,provides a basis for gait recognition,and provides a new method and idea for the study of human walking movement characteristics.
机构地区 江苏警官学院
出处 《现代信息科技》 2018年第6期7-9,12,共4页 Modern Information Technology
基金 江苏警官学院学生研究项目(项目编号:SJYX2017Z12) 江苏警官学院课题(项目编号:2016 SJYZY01)
关键词 步法 行走特征 踝关节 步态识别 gait walking characteristics ankle joint gait recognition
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  • 1田光见,赵荣椿.步态识别综述[J].计算机应用研究,2005,22(5):20-22. 被引量:16
  • 2欧阳常青.步态识别技术在反恐等公共安全领域中的应用[J].新疆警官高等专科学校学报,2005(3):63-64. 被引量:6
  • 3周安艳,李海,黄东锋,尹运冬,曹建国.视频压力式步态分析系统对正常学龄前儿童的步态分析[J].中国临床康复,2005,9(30):115-117. 被引量:14
  • 4叶波,文玉梅.基于步态的人身份识别技术综述[J].计算机应用,2005,25(11):2577-2580. 被引量:8
  • 5史力民.足迹学[M].北京:中国人民公安大学出版社,2007:7.
  • 6TISTARELLI M, LI S Z, CHELLAPPA R. Handbook of remote biometrics for surveillance and security[EB/OL]. [2010-05-20].http :// icast.icst .org/2010/06/handbook security.
  • 7YU S Q,TAN T N ,HUANG K Q,et al. A study on gait-based gender classification[J].IEEE Trans. Image Processing,2009,18(8) : 1905- 1910.
  • 8LU J W, TAN Y P. Gait-based human age estimation[J].IEEE Trans. Information Forensics and Security, 201 O, 5 ( 4 ) : 1718-1721.
  • 9ZHANG D, WANG Y H, BHANU B. Ethnicity classification based on gait using muhi-view fusion[C]//Proc. 2010 IEEE Computer SocietyConference on Computer Vision and Pattern Recognition Workshops. San Francisco, CA :IEEE Press, 2010:108-115.
  • 10KATIYAR R,PATHAK V K. Clinical gait data analysis based onspatio-temporal features[J],IntemationaI Journal ot~ Computer Scienceand Information Security, 2010, 2 (2) : 174-183.

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