Measuring the Sequence of Steps in Martial Art Techniques using Frame-Based Rules Ranges of the Motion Templates
Wan Mohd Rizhan Wan Idris1, Ahmad Rafi2, Azman Bidin3, Azrul Amri Jamal4
1Wan Mohd Rizhan Wan Idris, Faculty of Creative Multimedia, Multimedia University (MMU), Cyberjaya Campus, Cyberjaya, Selangor, Malaysia, Faculty of Informatics & Computing, University of Sultan ZainalAbidin (UniSZA), Besut Campus, Terengganu, Malaysia.
2Ahmad Rafi, Faculty of Creative Multimedia, Multimedia University (MMU), Cyberjaya Campus, Cyberjaya, Selangor, Malaysia.
3Azman Bidin, Faculty of Creative Multimedia, Multimedia University (MMU), Cyberjaya Campus, Cyberjaya, Selangor, Malaysia.
4Azrul Amri Jamal, Faculty of Informatics & Computing, University of Sultan ZainalAbidin (UniSZA), Besut Campus, Terengganu, Malaysia.
Manuscript received on 24 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 27 April 2019 | PP: 93-104 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F10150476S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Motion Capture; Motion Recognition; Motion Template; Frame-Based Rules Ranges; Seni Silat Cekak Malaysia.
Scope of the Article: Knowledge Engineering Tools and Techniques