Citation

Mohamed Eshaq, Ahmad Rafi and Wan Idris, Wan Mohd Rizhan and Bidin, Azman and Jamal, Azrul Amri (2019) Measuring the sequence of steps in martial art techniques using frame-based rules ranges of the motion templates. International Journal of Recent Technology and Engineering, 7 (6). pp. 93-104. ISSN 2277-3878

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Abstract

Martial arts (MAs) can be considered as a preserved heritage. Motion capture (MoCap) techniques have been used in various applications of MAs preservation, such as: producing 3D models; performance testing results; and system platforms development. MoCap requires motion recognition (MoRec) technique to translate the motions executed into meaningful forms. MoRec measures accuracy of rules towards certain movements which is in perspective of machine learning algorithm without emphasizing aspects to be assessed in MA perspective. Sequence of steps is one of the important aspects in measuring the effectiveness of MA techniques. The sequence of steps may reflect certain MA technique due to the accuracy of consecutive steps being executed. Incorrect steps in MA technique may cause harm and even fatal injuries. In this paper, Frame-Based Rules-Ranges (FBRR) approach is proposed to measure the sequence of steps in MA technique. Implementation and evaluation of FBRR for templates of MA techniques are discussed by experimenting FOUR SSCM techniques. The results show that the templates with FBRR have reduced redundant and irrelative rules in the sequence that leads to a better measurement of the sequence of steps. These templates with FBRR are ready to be tested to the other MA practitioners including trainers and trainees in order to validate and verify their techniques.

Item Type:	Article
Uncontrolled Keywords:	Martial Art, Motion capture, Motion recognition, Motion template, Frame-Based Rules Ranges, Seni Silat Cekak Malaysia.
Subjects:	G Geography. Anthropology. Recreation > GV Recreation Leisure (General) > GV1-1860 Recreation. Leisure
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	09 Feb 2022 02:08
Last Modified:	09 Feb 2022 02:08
URII:	http://shdl.mmu.edu.my/id/eprint/9093

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