MAGES 3.0: Tying the knot of medical VR
May 03, 2020 Β· Declared Dead Β· π SIGGRAPH Immersive Pavilion
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Authors
George Papagiannakis, Paul Zikas, Nick Lydatakis, Steve Kateros, Mike Kentros, Efstratios Geronikolakis, Manos Kamarianakis, Ioanna Kartsonaki, Giannis Evangelou
arXiv ID
2005.01180
Category
cs.HC: Human-Computer Interaction
Citations
28
Venue
SIGGRAPH Immersive Pavilion
Last Checked
4 months ago
Abstract
In this work, we present MAGES 3.0, a novel Virtual Reality (VR)-based authoring SDK platform for accelerated surgical training and assessment. The MAGES Software Development Kit (SDK) allows code-free prototyping of any VR psychomotor simulation of medical operations by medical professionals, who urgently need a tool to solve the issue of outdated medical training. Our platform encapsulates the following novel algorithmic techniques: a) collaborative networking layer with Geometric Algebra (GA) interpolation engine b) supervised machine learning analytics module for real-time recommendations and user profiling c) GA deformable cutting and tearing algorithm d) on-the-go configurable soft body simulation for deformable surfaces.
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