Immersive visuo-haptic rendering in optometry training simulation Wei, Lei, Huynh, Loi, Zhou, Hailing and Nahavandi, Saeid 2015, Immersive visuo-haptic rendering in optometry training simulation, in SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 436-439, doi: 10.1109/SMC.2015.87. Attached Files Name Description MIMEType Size Downloads Title Immersive visuo-haptic rendering in optometry training simulation Author(s) Wei, Lei Huynh, Loi Zhou, Hailing Nahavandi, Saeid Conference name IEEE International Conference on Systems, Man, and Cybernetics (2015 : Hong Kong, China) Conference location Hong Kong, China Conference dates 9-12 Oct 2015 Title of proceedings SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics Publication date 2015 Start page 436 End page 439 Total pages 4 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Science & Technology Technology Computer Science, Cybernetics Computer Science, Information Systems Computer Science, Theory & Methods Computer Science Visuo-haptic rendering shading language immersive training simulation Notes Immersion is of paramount importance for virtual training tasks, especially in the area of medical training simulations. Although hap tic interaction has been the major boost for immersion in visuo-hap tic rendering, the way how visual rendering represent detailed information can greatly affect hap tic pipeline and therefore is also crucial for an engaging and effective training simulation. In this paper, we discuss a few details in visuo-hap tic rendering of optometry training simulation, and demonstrate two implementations which provide detailed and accurate rendering results and increase the immersion of the training procedure. The effectiveness of these implementations have been validated both visually and haptically by medical professionals through a few user studies. The work discussed in this paper may serve as foundations for future improvements in visuo-hap tic medical training simulation tasks. ISBN 9781479986965 ISSN 1062-922X Language eng DOI 10.1109/SMC.2015.87 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 ©2015, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30082500 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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, 31 Mar 2016, 11:47:33 EST Thu, 31 Mar 2016, 11:48:07 EST Thu, 31 Mar 2016, 11:48:38 EST Thu, 31 Mar 2016, 11:55:09 EST Fri, 01 Apr 2016, 04:01:16 EST Thu, 21 Apr 2016, 06:10:08 EST Thu, 19 May 2016, 12:21:37 EST Thu, 19 May 2016, 12:22:46 EST Wed, 09 Nov 2016, 11:43:09 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 144 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 31 Mar 2016, 11:55:09 EST

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