Citation

Wan Idris, Wan Mohd Rizhan and Mohamed Eshaq, Ahmad Rafi and Bidin, Azman and Jamal, Azrul Amri (2018) A theoretical framework of extrinsic feedback based-automated evaluation system for martial arts. International Journal of Engineering & Technology, 7 (2.14). p. 74. ISSN 2227-524X

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Abstract

Martial arts (MAs) are considered as a preserved heritage primarily due to the fact that it promotes certain level of identities of a culture. MA refers to the art of combat and self-defense which normally combines offensive and defensive techniques. Technology advancements have made motion capture (MoCap) to be widely used in MA to capture and evaluate human performance. Nevertheless, researches on extrinsic feedbacks (EFs) of MA through the developed evaluation system are scarce. Furthermore, there is no complete framework of evaluation system suggested for MA. This paper presents the theoretical framework of EF-based automated evaluation system in the context of traditional local MA. The framework contains three modules including MoCap, recognition and evaluation. The MoCap module tracks human body accurately in order to generate skeleton, tune focused target, and record human movements. Recognition module develops a script of motion for templates and classification purposes using Reverse-Gesture Description Language (R-GDL) and GDL respectively. Evaluation module produces the extrinsic feedback in terms of pattern and score for the performed movements. This theoretical framework will be used in the development of the digital tool to measure the accuracy and effectiveness of motions performed by one of the traditional local MAs.

Item Type:	Article
Uncontrolled Keywords:	Motion detectors, Martial Arts, Motion Capture, Gesture Description Language, Reverse-Gesture Description Language.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	11 Nov 2020 12:20
Last Modified:	11 Nov 2020 12:20
URII:	http://shdl.mmu.edu.my/id/eprint/7337

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