Developing new robust motion templates of martial art techniques using R-GDL approach: a case study of SSCM

Martial art (MA) is considered a conserved heritage primarily for promoting certain level of identities and cultures. With the technology advancement, motion capture has been widely used in MA to capture and evaluate human performance. However, methods to create motion templates (templates) of MA techniques from scratch are rarely exposed because there is no complete evaluation system framework suggested for MA. This paper presents in detaile how to create the MA templates using framework of extrinsic feedback-based evaluation system generally and R-GDL specifically. To create more robust templates, GDL has been used in validation tests. SSCM becomes the case study in this research. The main contribution in this paper is introduction of new datasets of templates for SSCM techniques. Evaluation of trainees' performance will be done using the datasets for future works. The datasets are believed to promise MAs' authenticity and originality and to preserve this valuable cultural heritage.