Function-based single and dual point haptic interaction in Cyberworlds Wei, Lei, Sourin, Alexei, Najdovski, Zoran and Nahavandi, Saeid 2012, Function-based single and dual point haptic interaction in Cyberworlds. In Gavrilova, Marina L. and Tan, C. J. Kenneth (ed), Transactions on computational science XVI, Springer, Heidelberg, Germany, pp.1-16. Attached Files Name Description MIMEType Size Downloads Title Function-based single and dual point haptic interaction in Cyberworlds Author(s) Wei, Lei orcid.org/0000-0001-8267-0283 Sourin, Alexei Najdovski, Zoran orcid.org/0000-0002-8880-8287 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Title of book Transactions on computational science XVI Editor(s) Gavrilova, Marina L. Tan, C. J. Kenneth Publication date 2012 Series Lecture notes in computer science; v. 7380 Chapter number 1 Total chapters 11 Start page 1 End page 16 Total pages 16 Publisher Springer Place of Publication Heidelberg, Germany Keyword(s) function-based approach haptic interaction dual-point haptic interaction haptic collision detection haptic force rendering shared virtual spaces Summary Polygon and point based models dominate virtual reality. These models also affect haptic rendering algorithms, which are often based on collision with polygons. With application to dual point haptic devices for operations like grasping, complex polygon and point based models will make the collision detection procedure slow. This results in the system not able to achieve interactivity for force rendering. To solve this issue, we use mathematical functions to define and implement geometry (curves, surfaces and solid objects), visual appearance (3D colours and geometric textures) and various tangible physical properties (elasticity, friction, viscosity, and force fields). The function definitions are given as analytical formulas (explicit, implicit and parametric), function scripts and procedures. We proposed an algorithm for haptic rendering of virtual scenes including mutually penetrating objects with different sizes and arbitrary location of the observer without a prior knowledge of the scene to be rendered. The algorithm is based on casting multiple haptic rendering rays from the Haptic Interaction Point (HIP), and it builds a stack to keep track on all colliding objects with the HIP. The algorithm uses collision detection based on implicit function representation of the object surfaces. The proposed approach allows us to be flexible when choosing the actual rendering platform, while it can also be easily adopted for dual point haptic collision detection as well as force and torque rendering. The function-defined objects and parts constituting them can be used together with other common definitions of virtual objects such as polygon meshes, point sets, voxel volumes, etc. We implemented an extension of X3D and VRML as well as several standalone application examples to validate the proposed methodology. Experiments show that our concern about fast, accurate rendering as well as compact representation could be fulfilled in various application scenarios and on both single and dual point haptic devices. ISBN 3642326633 9783642326639 ISSN 0302-9743 1611-3349 Language eng Field of Research 080602 Computer-Human Interaction Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter Persistent URL http://hdl.handle.net/10536/DRO/DU:30049535 Document type: Book Chapter Collections: Institute for Intelligent Systems Research and Innovation (IISRI) ERA Postprints 2018 ERA Submission GTP Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 29 Nov 2012, 07:54:56 EST Mon, 03 Dec 2012, 09:31:21 EST Mon, 03 Dec 2012, 09:32:11 EST Tue, 04 Dec 2012, 08:06:09 EST Wed, 05 Dec 2012, 07:46:00 EST Fri, 12 Apr 2013, 16:36:18 EST Fri, 12 Apr 2013, 21:48:48 EST Fri, 07 Jun 2013, 13:01:19 EST Fri, 07 Jun 2013, 15:00:19 EST Fri, 07 Jun 2013, 15:01:04 EST Fri, 08 Aug 2014, 10:09:53 EST Fri, 17 Oct 2014, 11:51:16 EST Thu, 05 Apr 2018, 14:10:47 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 712 Abstract Views, 17 File Downloads  -  Detailed Statistics Created: Thu, 29 Nov 2012, 07:54:56 EST

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