Biomechanics Analysis of Combat Sport (Silat) By Using Motion Capture System

Colloquium of Advanced Mechanics 2016

Kaharuddin, Muhammad Zulhilmi^1,2 ; Khairu Razak, Siti Badriah^1,2 ; Kushairi, Muhammad Ikram^1,2 ; Abd Rahman, Mohamed Syawal^1,2 ; An, Wee Chang^1,2 ; Ngali, Z.^1,2 ; Siswanto, W.A.^1,2 ; Salleh, S.M.^1,2 ; Yusup, E.M.^1,2

Department of Mechanical Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia^1

Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia^2

关键词: Joint coordinates;    Kinematic parameters;    Matlab- software;    Mean and standard deviations;    Motion capture system;    Process of learning;    Professional levels;    Scientific researches;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/165/1/012028/pdf
DOI  :  10.1088/1757-899X/165/1/012028

来源: IOP

【 摘 要 】

Silat' is a Malay traditional martial art that is practiced in both amateur and in professional levels. The intensity of the motion spurs the scientific research in biomechanics. The main purpose of this abstract is to present the biomechanics method used in the study of 'silat'. By using the 3D Depth Camera motion capture system, two subjects are to perform 'Jurus Satu' in three repetitions each. One subject is set as the benchmark for the research. The videos are captured and its data is processed using the 3D Depth Camera server system in the form of 16 3D body joint coordinates which then will be transformed into displacement, velocity and acceleration components by using Microsoft excel for data calculation and Matlab software for simulation of the body. The translated data obtained serves as an input to differentiate both subjects' execution of the 'Jurus Satu'. Nine primary movements with the addition of five secondary movements are observed visually frame by frame from the simulation obtained to get the exact frame that the movement takes place. Further analysis involves the differentiation of both subjects' execution by referring to the average mean and standard deviation of joints for each parameter stated. The findings provide useful data for joints kinematic parameters as well as to improve the execution of 'Jurus Satu' and to exhibit the process of learning a movement that is relatively unknown by the use of a motion capture system.