Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts


Wan Idris, Wan Mohd Rizhan (2019) Framework Of Extrinsic Feedback Evaluation Using Motion Capture For Martial Arts. PhD thesis, Multimedia University.

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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.

Item Type: Thesis (PhD)
Additional Information: Call No.: NX650.M64 W36 2019
Uncontrolled Keywords: Motion in art
Subjects: N Fine Arts > NX Arts in general
Divisions: Faculty of Creative Multimedia (FCM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 17 Sep 2020 06:37
Last Modified: 17 Sep 2020 06:39


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