Prof Vassilis Charisis V.Charisis@napier.ac.uk
Professor
Augmented reality anatomy training for inguinal canal region
Charissis, Vassilis; Ward, Ben Michael; Sakellariou, Sophia; Parkin, Ian; Rowley, David; Anderson, Paul
Authors
Ben Michael Ward
Sophia Sakellariou
Ian Parkin
David Rowley
Paul Anderson
Abstract
The proliferation of three-dimensional and augmented reality representations offers significant advantages for the accumulation of spatial knowledge regarding human complex structures. Interestingly the interpretation of complex applied medical sciences often requires a strong grasp of the 3D anatomy to which it relates. In practice the obstacle to learning is compounded when procedural techniques and specialist anatomy are effectively taught simultaneously. However it has been shown that learning can be augmented by the use of high resolution 3D models and intuitive human-computer interaction. In particular this study investigates the structural complexity of the human anatomy with emphasis to the inguinal canal region.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | 2nd International Symposium on Systems Research in the Arts and Humanities |
Publication Date | 2008 |
Deposit Date | Jul 7, 2023 |
Book Title | Proceedings of 2nd International Symposium on Systems Research in the Arts and Humanities |
Keywords | inguinal canal; medical education; virtual reality; computer simulation; anatomy; pathology; haptics |
You might also like
Utilising Gamification and Virtual Environments to Present Digitally Enhanced Advanced Services (DEAS) for the Financial Sector
(2022)
Presentation / Conference Contribution
Virtual Reality for Simulation and Evaluation: Technology Acceptance Models for Automotive Consumer Electronics
(2021)
Presentation / Conference Contribution
Exploring the Development Requirements for Virtual Reality Gait Analysis
(2019)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search