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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.

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Title Immersive visuo-haptic rendering in optometry training simulation
Author(s) Wei, LeiORCID iD for Wei, Lei orcid.org/0000-0001-8267-0283
Huynh, Loi
Zhou, HailingORCID iD for Zhou, Hailing orcid.org/0000-0001-5009-4330
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
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
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