Analysis 3-D Joints Motion Data of Human Walk
Sajid Ali, Zhongke Wu, Tauqir Ahmed Moughal, Ahmad Tisman Pasha, Salman Qadri · 2013
This paper proposes statistical testing methods for gait analysis and uses three dimensional (3D) motion data to analyze the mean and variance of three types of joints: hip, knee and ankle. The extracted data is initially recorded in an ASF/AMC format by the motion capture system. Then these files are converted into the Biovision Hierarchical (BVH) files. The statistical hypothesis tests for equality of means are applied on the generated BVH data of three joints. As these joints provide the high combustible component information of human lower body Bartlett's test is also used for equality of variances movements of joints and to determine which joint has more exhibits variation among them. The usage of BVH file, to estimate the movement of joints in each x, y, and z coordinate during walk, is a novel feature in this study. The experimental results indicate that, the knee joint has the decisive influence (variation or stronger) as compared to the other two joints (hip and ankle) during human walk. (Sajid Ali,Wu Zhongke,Tauqir Ahmed Moughal, Ahmad Tisman Pasha, Salman Qadri. Analysis 3-D Joints Motion Data of Human Walk. Life Sci J 2013;10(4):3411-3419). (ISSN:1097-8135). http://www.lifesciencesite.com. 455