Volume 11 Number 4 (Jul. 2016)
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JCP 2016 Vol.11(4): 289-299 ISSN: 1796-203X
doi: 10.17706/jcp.11.4.289-299

Estimation of Joints Performance in Human Running through Mocap Data

Sajid Ali1, Mingquan Zhou1, Zhongke Wu1, Usman Muhammad2, M. Azam Zai3, Murad Ali Shah4
1College of Information Science and Technology, Beijing Normal University, Engineering Research Center of Virtual Reality Application, Ministry of Education (MOE), P.R. C, Beijing, China.
2School of Computer and Control Engineering, Chinese Academy of Sciences, Beijing, China.
3School of Computer Science and Technology, Bejing University of Posts & Telecommunication, Bejing, China.
4School of Mathematics, Bejing Normal University, Bejing, China.


Abstract—In Human, the lower limb joints attained more importance during the locomotor system, they play a valuable role during different styles of movement. The study of the 3D biomechanics of these joints have significance important for recording the morphological changes allied with the acquisition of a habitual bipedal gait in humans. Human body on any joint has important inference in joint stability and performance. In this paper, we measure the performance of human lower limb joints (hip, knee and ankle) during running based on statistical techniques. The data of joints acquisition from the motion captured system. This data provides plentiful information in human running. For instance, we can determine which joint has more variation in human running gait based on mocap of each joint. Our experimental results indicate that among these joints, the knee joint has a dominant influence in human running gait.

Index Terms—Joint movement, gait analysis, joints estimation, variation influence.

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Cite: Sajid Ali, Mingquan Zhou, Zhongke Wu, Usman Muhammad, M. Azam Zai, Murad Ali Shah, "Estimation of Joints Performance in Human Running through Mocap Data," Journal of Computers vol. 11, no. 4, pp. 289-299, 2016.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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