Research on real-time physics-based deformation for haptic-enabled medical simulation Tai, Yonghang 2018, Research on real-time physics-based deformation for haptic-enabled medical simulation, Ph.D. thesis, Institute for Intelligent Systems Research and Innovation, Deakin University. Attached Files Name Description MIMEType Size Downloads tai-researchonreal-2019.pdf Connect to thesis application/pdf 7.82MB 2 Title Research on real-time physics-based deformation for haptic-enabled medical simulation Author Tai, Yonghang Institution Deakin University School Institute for Intelligent Systems Research and Innovation Degree type Research doctorate Degree name Ph.D. Thesis advisor Wei, Lei orcid.org/0000-0001-8267-0283 Nahavandi Saeid orcid.org/0000-0002-0360-5270 Date submitted 2018-10 Summary This study developed a multiple effective visuo-haptic surgical engine to handle a variety of surgical manipulations in real-time. Soft tissue models are based on biomechanical experiment and continuum mechanics for greater accuracy. Such models will increase the realism of future training systems and the VR/AR/MR implementations for the operating room. Language eng Indigenous content off Field of Research 080111 Virtual Reality and Related Simulation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences Description of original 146 p. Copyright notice ©The author Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30130977 Document type: Thesis Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Higher degree theses (Open Access) Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 29 Oct 2019, 10:28:11 EST Wed, 30 Oct 2019, 07:10:27 EST Fri, 26 Mar 2021, 14:44:45 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 7 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Tue, 29 Oct 2019, 10:27:53 EST by Penny Mcevoy

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.