• ISSN: 2287-4844 (Print), 2287-4852 (Online)
    • Abbreviated Title: Prog. Intell. Comput. Appl.
    • Frequency: Annually
    • Editor-in-Chief: Dr. William Guo
    • Executive Editor:  Xian Zhang
    • Published by: Australasian Professional Development and Academic Services (APDAS)(registered from Feb 2013)
    • Indexed by:  Google Scholar, Engineering & Technology Digital Library, Crossref, Proquest and DOAJ
    • E-mail: pica@etpub.com
PICA 2013 Vol.2(1): 34-45 ISSN: 2287-4844 (Print); 2287-4852 (Online)
doi: 10.4156/pica.vol2.issue1.3

Appraising the Recital of Joints in Human Running Gait through 3D Optical Motion

1,2,3,4Sajid Ali, 1Zhongke Wu, 1Mingquan Zhou, 2Muhammad Aslam Asadi, 3Mohamed Hamada, 4Hafeez Ahmed
Abstract: Recital costing of Joints in human running is biometrics evaluation technology. It has skillful series of realizations in scientific research in the last decade. In this work, we present human running joints (hip, knee and ankle) valuation recital based on the statistical computation techniques. We use the One-way ANOVA, least significant difference (LSD) test and Bartlett's test for equality of variances to determine which joint has more variation with other joints during human running gait style. These three joints rotation angle data were computed from the Biovision Hierarchical data (BVH) motion file, because these joints provide the richest information of the human lower body joints (hip, knee and ankle). The use of BVH file to estimate the participation and performance of the joints during running gait is a novel feature of our study. The experimental results indicated that the knee joint has the decisive influence (variation) as compared to the other two joints, hip and ankle, during running gait.

Keywords: Joints importance; Running concept; Size up joint

1Institute of Virtual Reality and Visualization Technology, Beijing Normal University, Beijing, China
2Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
3Department of Computer Science, University of Aizu, Aizuwakamatsu, Fukushima, Japan
4Department of Electrical Engineering, Institute of Space Technology, Islamabad, Pakistan sajid_ila@yahoo.com

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Cite: Sajid Ali,Zhongke Wu, Mingquan Zhou, Muhammad Aslam Asadi, Mohamed Hamada, Hafeez Ahmed, "Appraising the Recital of Joints in Human Running Gait through 3D Optical Motion," Progress in Intelligent Computing and Applications , vol. 2, no. 1, pp. 34-45, March 2013.

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