Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5833
Title: Collision and impact force computation for virtual reality applications
Contributor(s): Khor, A K (author); Leedham, Graham  (author); Maskell, D L (author)
Publication Date: 2003
DOI: 10.1109/TENCON.2003.1273299
Handle Link: https://hdl.handle.net/1959.11/5833
Abstract: This paper is concerned with the accurate detection of collision and the resulting impact force between the model of a person's hand and a static or moving object. The objective is to provide accurate feedback of touch in virtual reality applications. The methods described and evaluated use a combination of bounding sphere and recursive subdivision of the bounding box techniques to detect accurately when and where a collision occurs on the hand. The impact force of the collision is calculated using the geometry of the impact area and application of Newton's law. The methods are verified using a novel prototype of a hand controlled by a six degrees of freedom tracker glove and ball. The ball and hand can collide either by the ball hitting the hand, the hand hitting the ball or both. When inexpensive accurate touch transducers become available to complement the 3D body position input devices, many innovative applications can be realized by applying these methods.
Publication Type: Conference Publication
Conference Details: TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region, Bangalore, India, 15th - 17th October, 2003
Source of Publication: Proceedings of IEEE TENCON 2003: Conference on Convergent Technologies for the Asia-Pacific Region, v.2, p. 853-857
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: Los Alamitos, United States of America
Fields of Research (FoR) 2008: 080104 Computer Vision
080106 Image Processing
080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio-Economic Objective (SEO) 2008: 810199 Defence not elsewhere classified
890299 Computer Software and Services not elsewhere classified
810107 National Security
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://trove.nla.gov.au/work/17382556
http://www.ewh.ieee.org/r10/bangalore/tencon2003/
Appears in Collections:Conference Publication

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