Selective visuo-haptic rendering of heterogeneous objects in 'parallel universes' Wei, Lei, Zhou, Hailing and Nahavandi, Saeid 2014, Selective visuo-haptic rendering of heterogeneous objects in 'parallel universes', in SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 2176-2179. Attached Files Name Description MIMEType Size Downloads Title Selective visuo-haptic rendering of heterogeneous objects in 'parallel universes' Author(s) Wei, Lei orcid.org/0000-0001-8267-0283 Zhou, Hailing orcid.org/0000-0001-5009-4330 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Systems, Man, and Cybernetics. Conference (2014 : San Diego, California) Conference location San Diego, California Conference dates 5-8 Oct. 2014 Title of proceedings SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics Editor(s) [Unknown] Publication date 2014 Conference series Systems, Man, and Cybernetics Conference Start page 2176 End page 2179 Total pages 4 Publisher IEEE Place of publication Piscataway, N.J. Summary  Haptic rendering of complex models is usually prohibitive due to its much higher update rate requirement compared to visual rendering. Previous works have tried to solve this issue by introducing local simulation or multi-rate simulation for the two pipelines. Although these works have improved the capacity of haptic rendering pipeline, they did not take into consideration the situation of heterogeneous objects in one scenario, where rigid objects and deformable objects coexist in one scenario and close to each other. In this paper, we propose a novel idea to support interactive visuo-haptic rendering of complex heterogeneous models. The idea incorporates different collision detection and response algorithms and have them seamlessly switched on and off on the fly, as the HIP travels in the scenario. The selection of rendered models is based on the hypothesis of “parallel universes”, where the transition of rendering one group of models to another is totally transparent to users. To facilitate this idea, we proposed a procedure to convert the traditional single universe scenario into a “multiverse” scenario, where the original models are grouped and split into each parallel universe, depending on the scenario rendering requirement rather than just locality. We also proposed to add simplified visual objects as background avatars in each parallel universe to visually maintain the original scenario while not overly increase the scenario complexity. We tested the proposed idea in a haptically-enabled needle thoracostomy training environment and the result demonstrates that our idea is able to substantially accelerate visuo-haptic rendering with complex heterogeneous scenario objects. ISBN 9781479938391 Language eng Field of Research 080111 Virtual Reality and Related Simulation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2014, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30072421 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Publisher URL 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 Fri, 17 Apr 2015, 12:03:35 EST Fri, 17 Apr 2015, 12:04:29 EST Fri, 17 Apr 2015, 12:05:07 EST Sat, 18 Apr 2015, 05:02:50 EST Sat, 18 Apr 2015, 06:14:07 EST Mon, 20 Apr 2015, 11:18:36 EST Mon, 20 Apr 2015, 11:20:50 EST Fri, 22 May 2015, 13:35:39 EST Mon, 25 May 2015, 08:14:27 EST Wed, 27 May 2015, 09:37:29 EST Mon, 12 Oct 2015, 16:03:39 EST Mon, 18 Jul 2016, 15:35:20 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 526 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Fri, 17 Apr 2015, 12:05:07 EST

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