Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts

Capturing and analysing human motion using the motion capture (MoCap) technique is a rapidly growing research area due to a large number of potential applications and its inherent complexity. In martial arts (MAs), MoCap is used widely to evaluate human performance. MoCap normally requires motion re...

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Main Author: Wan Idris, Wan Mohd Rizhan
Format: Thesis
Published: 2019
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id my-mmu-ep.7725
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spelling my-mmu-ep.77252020-09-17T06:39:17Z Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts 2019-12 Wan Idris, Wan Mohd Rizhan NX Arts in general Capturing and analysing human motion using the motion capture (MoCap) technique is a rapidly growing research area due to a large number of potential applications and its inherent complexity. In martial arts (MAs), MoCap is used widely to evaluate human performance. MoCap normally requires motion recognition (MoRec) to translate the movements executed into meaningful forms. MoRec can be used to produce intrinsic and extrinsic feedback (EF) to evaluate MAs. MAs promote a sense of identity and culture, and as such are considered part of the national heritage in certain countries. However, the evaluation systems using MoCap for MAs are scarce due to the absence of a complete framework of evaluation systems for MAs. Furthermore, common approaches to MoRec require very large training and validation sets. MoRec using Gesture Description Language (GDL) and Reverse-GDL (R-GDL) approaches is insufficient to evaluate MAs techniques because both approaches are not designed to produce results in the form of EF. Therefore, a framework for evaluating EF using MoCap for MAs called EFE-MoCap has been developed. The framework comprises designs of templates, Frames-Based Rules-Ranges (FBRR) and Score Rubric Assessment (SRA) to create the MAs motion templates; create rules-ranges for the created motion templates for publishing EF, and evaluate the framework for a traditional Malay MAs. 2019-12 Thesis http://shdl.mmu.edu.my/7725/ http://library.mmu.edu.my/library2/diglib/mmuetd/ phd doctoral Multimedia University Faculty of Creative Multimedia
institution Multimedia University
collection MMU Institutional Repository
topic NX Arts in general
spellingShingle NX Arts in general
Wan Idris, Wan Mohd Rizhan
Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
description Capturing and analysing human motion using the motion capture (MoCap) technique is a rapidly growing research area due to a large number of potential applications and its inherent complexity. In martial arts (MAs), MoCap is used widely to evaluate human performance. MoCap normally requires motion recognition (MoRec) to translate the movements executed into meaningful forms. MoRec can be used to produce intrinsic and extrinsic feedback (EF) to evaluate MAs. MAs promote a sense of identity and culture, and as such are considered part of the national heritage in certain countries. However, the evaluation systems using MoCap for MAs are scarce due to the absence of a complete framework of evaluation systems for MAs. Furthermore, common approaches to MoRec require very large training and validation sets. MoRec using Gesture Description Language (GDL) and Reverse-GDL (R-GDL) approaches is insufficient to evaluate MAs techniques because both approaches are not designed to produce results in the form of EF. Therefore, a framework for evaluating EF using MoCap for MAs called EFE-MoCap has been developed. The framework comprises designs of templates, Frames-Based Rules-Ranges (FBRR) and Score Rubric Assessment (SRA) to create the MAs motion templates; create rules-ranges for the created motion templates for publishing EF, and evaluate the framework for a traditional Malay MAs.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Wan Idris, Wan Mohd Rizhan
author_facet Wan Idris, Wan Mohd Rizhan
author_sort Wan Idris, Wan Mohd Rizhan
title Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
title_short Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
title_full Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
title_fullStr Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
title_full_unstemmed Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts
title_sort framework of extrinsic feedback evaluation using motion capture for martial arts
granting_institution Multimedia University
granting_department Faculty of Creative Multimedia
publishDate 2019
_version_ 1747829667481518080