VR Medical Training Use Case
VR Medical Training
MAGES, developed by ORamaVR, is the world’s first hyper-realistic virtual reality-based software platform for accelerated surgical training and assessment.
With MAGES trainees can perform life-like surgery simulations in a risk-free environment to improve trainees’ outcomes. The VR Medical Training UC involves predefined surgical scenarios executed by trainees in a shared, collaborative, hyper-realistic VR environment.
Achieving optimal user immersion in a VR training environment is a very resource demanding UC. ORamaVR’s VR medical training application will influence the design, experiment, and showcase CHARITY’s capabilities in order to provide optimal QoE to end-users.
To achieve optimal QoE this UC will exploit CHARITY’s advanced cloud-edge services and CPU/GPU capabilities, utilizing 5G networks' low latency and high bandwidth. In this respect, the HMD application will remain lightweight as all demanding processes, such as the Geometric Algebra inTerpolation Engine (GATE) and the Physics Engine, will be offloaded to cloud-edge resources. Targeting on untethered HMDs’ limited processing and energy resources, this innovation will provide optimal QoE with increased battery autonomy and user’s mobility, allowing even low-spec untethered HMDs to execute the training simulations.
ORAMAVR defined the Charity VR Medical training requirements and has been working on the modification of Unity3D pipeline, by dissecting GATE and Physics engine as two separate components. The next steps include the development of a controller interface that handles the communication between the HMD and edge microservices, and afterwards the deployment of the XR application on the testbed infrastructure to experiment the CHARITY microservices.
Achieving optimal user immersion in a VR training environment is a very resource demanding UC. ORamaVR’s VR medical training application will influence the design, experiment, and showcase CHARITY’s capabilities in order to provide optimal QoE to end-users.
To achieve optimal QoE this UC will exploit CHARITY’s advanced cloud-edge services and CPU/GPU capabilities, utilizing 5G networks' low latency and high bandwidth. In this respect, the HMD application will remain lightweight as all demanding processes, such as the Geometric Algebra inTerpolation Engine (GATE) and the Physics Engine, will be offloaded to cloud-edge resources. Targeting on untethered HMDs’ limited processing and energy resources, this innovation will provide optimal QoE with increased battery autonomy and user’s mobility, allowing even low-spec untethered HMDs to execute the training simulations.
ORAMAVR defined the Charity VR Medical training requirements and has been working on the modification of Unity3D pipeline, by dissecting GATE and Physics engine as two separate components. The next steps include the development of a controller interface that handles the communication between the HMD and edge microservices, and afterwards the deployment of the XR application on the testbed infrastructure to experiment the CHARITY microservices.
E-mail: Dr. Antonis Protopsaltis
