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Computer Science > Graphics

arXiv:2209.08819 (cs)
[Submitted on 19 Sep 2022 (v1), last revised 19 Jan 2023 (this version, v2)]

Title:MAGES 4.0: Accelerating the world's transition to VR training and democratizing the authoring of the medical metaverse

Authors:Paul Zikas, Antonis Protopsaltis, Nick Lydatakis, Mike Kentros, Stratos Geronikolakis, Steve Kateros, Manos Kamarianakis, Giannis Evangelou, Achilleas Filippidis, Eleni Grigoriou, Dimitris Angelis, Michail Tamiolakis, Michael Dodis, George Kokiadis, John Petropoulos, Maria Pateraki, George Papagiannakis
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Abstract:In this work, we propose MAGES 4.0, a novel Software Development Kit (SDK) to accelerate the creation of collaborative medical training applications in VR/AR. Our solution is essentially a low-code metaverse authoring platform for developers to rapidly prototype high-fidelity and high-complexity medical simulations. MAGES breaks the authoring boundaries across extended reality, since networked participants can also collaborate using different virtual/augmented reality as well as mobile and desktop devices, in the same metaverse world. With MAGES we propose an upgrade to the outdated 150-year-old master-apprentice medical training model. Our platform incorporates, in a nutsell, the following novelties: a) 5G edge-cloud remote rendering and physics dissection layer, b) realistic real-time simulation of organic tissues as soft-bodies under 10ms, c) a highly realistic cutting and tearing algorithm, d) neural network assessment for user profiling and, e) a VR recorder to record and replay or debrief the training simulation from any perspective.
Subjects: Graphics (cs.GR)
MSC classes: 97R60, 97U50, 97Q70, 97Q60
ACM classes: I.3.0; I.3.7; J.3
Cite as: arXiv:2209.08819 [cs.GR]
  (or arXiv:2209.08819v2 [cs.GR] for this version)
  https://doi.org/10.48550/arXiv.2209.08819

Submission history

From: Paul Zikas [view email]
[v1] Mon, 19 Sep 2022 08:10:35 UTC (14,847 KB)
[v2] Thu, 19 Jan 2023 16:28:42 UTC (21,057 KB)
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