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基于MATLAB的人体膝关节运动捕捉测量与分析
供稿: 王建平;赵烜;胡海;吴良益;郭栋;李瑜 时间: 2020-05-10 次数:

王建平, 赵烜, 胡海,.基于MATLAB的人体膝关节运动捕捉测量与分析[J].河南理工大学学报(自然科学版),2020,39(3):86-93.

WANG J P, ZHAO X, HU H, et al.Motion capture measurement and analysis of human knee joint based on MATLAB[J].Journal of Henan Polytechnic University(Natural Science) ,2020,39(3):86-93.

基于MATLAB的人体膝关节运动捕捉测量与分析

王建平1, 赵烜1, 胡海2, 吴良益3, 郭栋1, 李瑜1

1.河南理工大学机械与动力工程学院,河南焦作 454000;2.上海第六人民医院,上海 200233;3.焦作大学机电工程学院,河南焦作  454000

摘要:采用MATLAB软件对人体膝关节的运动进行分析处理。首先,编写程序处理运动捕捉测量的人体下肢标记点坐标数据,并进行插值修补;其次,根据所得到的人体下肢运动过程骨性标记点的坐标数据,利用骨性标记点建立人体股骨和胫骨局部坐标系;最后,通过坐标变换,计算人体下肢运动中膝关节股胫关节的屈曲伸展、内收外展和内外旋。对健康志愿者的下蹲和上楼梯动作进行运动捕捉测量,应用所设计的方法对获得的人体膝关节运动数据进行计算分析,验证该方法的可靠性和准确性。结果表明,采用MATLAB软件编程处理的方法,能够快速、准确地对人体膝关节运动数据进行处理,并得到人体膝关节股胫关节的运动学特性,这为人工膝关节假体的设计与优化提供了参考。

关键词:膝关节;运动捕捉测量;MATLAB;运动学

doi:10.16186/j.cnki.1673-9787.2020.3.11

基金项目:国家自然科学基金资助项目(31370999

收稿日期:2019/04/09

修回日期:2019/06/05

出版日期:2020/05/15

Motion capture measurement and analysis of human knee joint based on MATLAB

WANG Jianping1, ZHAO Xuan1, HU Hai2, WU Liangyi3, GUO Dong1, LI Yu1

1.School ofMechanical and Power Engineering Henan Polytechnic University Jiaozuo  454000 Henan China;2.Shanghai Sixth People’s Hospital Shanghai  200233 China;3.College of Mechanical and Electronic Engineering Jiaozuo University Jiaozuo  454000 Henan China

Abstract:Kinematics of human knee joint were measured and analyzed by using MATLAB software. The coordinate data of markers on human lower limb measured by motion capture system were firstly read and repaired through the program. Then the coordinate data of an atomical points in the movement of human lower limb were obtained by program processing. The local coordinate systems of human femur and tibia were established with anatomical points. Lastly the flexion/extension abduction/adduction and internal/external rotation of human knee tibiofemoral joint in the movement of lower limb were obtained by coordinate transformation. Healthy volunteers were measured by motion capture system during squatting and upstairs climbing. The obtained kinematics data of human knee joint were calculated and analyzed to prove the reliability and accuracy of this method. The results showed that the kinematics data of human knee joint could be processed accurately and effectively with the method by using MATLAB software and the kinematics characteristics of human knee tibiofemoral joint were obtained. The processing method provided a reference for the designing and optimization of knee prosthesis.

Key words:knee joint;motion capture measurement;MATLAB;kinematics

  基于MATLAB的人体膝关节运动捕捉测量与分析_王建平.pdf

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