Multi-modal Virtual Reality Dental Training System with Integrated Haptic-Visual-Audio Display
Identifieur interne : 005906 ( Main/Merge ); précédent : 005905; suivant : 005907Multi-modal Virtual Reality Dental Training System with Integrated Haptic-Visual-Audio Display
Auteurs : Dangxiao Wang [République populaire de Chine] ; Yuru Zhang [République populaire de Chine] ; Zhitao Sun [République populaire de Chine]Source :
- Lecture Notes in Control and Information Sciences [ 0170-8643 ] ; 2007.
Abstract
Abstract: Multi-modal signal fusion is an important way to improve immersion and fidelity of virtual reality training systems. With the help of a robotic arm, haptic device, it is possible to supply haptic-visual-audio display for training dentist. Architecture is firstly proposed to integrate different signals in a training system. High efficient sound synthesis algorithm is proposed based on hybrid combination of parameter identification from recorded sound signal, then use signal synthesis method to form final sound signal. Mapping method among audio, haptic and visual signal is proposed based on parameter mapping under various interaction status. Experiment based on Phantom desktop proves the stability of the rendering algorithm and the improved fidelity after adding audio feedback to current haptic-visual dental training system
Url:
DOI: 10.1007/978-3-540-73374-4_54
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<front><div type="abstract" xml:lang="en">Abstract: Multi-modal signal fusion is an important way to improve immersion and fidelity of virtual reality training systems. With the help of a robotic arm, haptic device, it is possible to supply haptic-visual-audio display for training dentist. Architecture is firstly proposed to integrate different signals in a training system. High efficient sound synthesis algorithm is proposed based on hybrid combination of parameter identification from recorded sound signal, then use signal synthesis method to form final sound signal. Mapping method among audio, haptic and visual signal is proposed based on parameter mapping under various interaction status. Experiment based on Phantom desktop proves the stability of the rendering algorithm and the improved fidelity after adding audio feedback to current haptic-visual dental training system</div>
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