Name
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psychomotor simulation of medical operations by medical professionals, who urgently need a tool to solve the issue of outdated medical training.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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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3388536.3407888 | SIGGRAPH '20: Special Interest Group on Computer Graphics and Interactive Techniques Conference
Virtual Event
USA
August, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7968-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Papagiannakis | 1 | 234 | 22.95 |
| Zikas Paul | 2 | 0 | 0.34 |
| Lydatakis Nick | 3 | 0 | 0.34 |
| Kateros Steve | 4 | 0 | 0.34 |
| Kentros Mike | 5 | 0 | 0.34 |
| Geronikolakis Efstratios | 6 | 0 | 0.34 |
| Kamarianakis Manos | 7 | 0 | 0.34 |
| Kartsonaki Ioanna | 8 | 0 | 0.34 |
| Evangelou Giannis | 9 | 0 | 0.34 |