Liang, H., Deng, S., Chang, J., Zhang, J. J., Chen, C. and Tong, R., 2018. Semantic framework for interactive animation generation and its application in virtual shadow play performance. Virtual Reality, 22 (2), 149 - 165.
Full text available as:
|
PDF
Liang2018_Article_SemanticFrameworkForInteractiv.pdf - Published Version Available under License Creative Commons Attribution. 3MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1007/s10055-018-0333-8
Abstract
Designing and creating complex and interactive animation is still a challenge in the field of virtual reality, which has to handle various aspects of functional requirements (e.g. graphics, physics, AI, multimodal inputs and outputs, and massive data assets management). In this paper, a semantic framework is proposed to model the construction of interactive animation and promote animation assets reuse in a systematic and standardized way. As its ontological implementation, two domain specific ontologies for the hand-gesture-based interaction and animation data repository have been developed in the context of Chinese traditional shadow play art. Finally, prototype of interactive Chinese shadow play performance system using deep motion sensor device is presented as the usage example.
Item Type: | Article |
---|---|
ISSN: | 1359-4338 |
Uncontrolled Keywords: | semantic framework; virtual interactive; animation generation; ontology; hand-gesture-based interaction; animation data management; chinese shadow play |
Group: | Faculty of Media & Communication |
ID Code: | 30868 |
Deposited By: | Symplectic RT2 |
Deposited On: | 18 Jun 2018 09:21 |
Last Modified: | 14 Mar 2022 14:11 |
Downloads
Downloads per month over past year
Repository Staff Only - |