Virtual human animation in natural language visualisation

Authors:
Minhua Ma;Paul Kevitt
Affiliations:
School of Computing & Information Engineering, Faculty of Engineering, University of Ulster, Coleraine, Northern Ireland BT52 1SA;School of Computing & Intelligent Systems, Faculty of Engineering, University of Ulster, Derry/Londonderry, Northern Ireland BT48 7JL
Venue:
Artificial Intelligence Review
Year:
2006

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Abstract

Simulation motion of Virtual Reality (VR) objects and humans has experienced important developments in the last decade. However, realistic virtual human animation generation remains a major challenge, even if applications are numerous, from VR games to medical training. This paper proposes different methods for animating virtual humans, including blending simultaneous animations of various temporal relations with multiple animation channels, minimal visemes for lip synchronisation, and space sites of virtual human and 3D object models for object grasping and manipulation. We present our work in our natural language visualisation (animation) system, CONFUCIUS, and describe how the proposed approaches are employed in CONFUCIUS' animation engine.