Ontology-based interactive animation/game generation for Chinese shadow play preservation.

Liang, H., Deng, S., Chang, J., Zhang, J. J., Chen, C. and Tong, R., 2016. Ontology-based interactive animation/game generation for Chinese shadow play preservation. In: VS-Games 2016: Proceedings of the 8th International Conference on Games and Virtual Worlds for Serious Applications, 7 - September 2016, Barcelona, Spain.

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DOI: 10.1109/VS-GAMES.2016.7590354

Abstract

Interactive animation generation is an attractive area of research for current animation developers in the field of virtual reality. As an essential tool for solving problems in many research areas, using standardised and structured terminologies, an ontological analysis could concisely describe the core logic of complex systems at a high level and facilitate system design. We propose a semantic framework using ontological methods to model the construction of interactive animation and promote integration process in a systematic and standardised way. A usage example is presented to provide guidance in generating animation of hand gesture based interactive Chinese shadow puppetry play for the heritage preservation of the traditional art. Domain-specific ontologies for the Chinese traditional shadow play and hand-gesture-based interaction are developed as the ontological implementation of the framework. Finally, an animation of hand-gesture-based interactive shadow play is generated.

Item Type:Conference or Workshop Item (Paper)
Additional Information:© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:ontology; hand gesture based; interactive animation; shadow play; virtual reality; culture heritage preservation
Group:Faculty of Science & Technology
ID Code:30133
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:15 Dec 2017 14:55
Last Modified:18 Dec 2017 16:30

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