Validation of an Integrated Virtual Reality Platform for Low Vision and Visual Neuroprostheses Simulation
摘要
Prosthetic Vision Simulation (PVS) platforms are vital for advancing visual neuroprosthesis research, yet existing systems often lack real-time capability or support for multiple implant types. We present NEUROVISION, a modular, wireless VR platform that integrates retinal and cortical prosthesis simulations, visual pathology rendering, object detection, and eye-tracking in a unified real-time environment. Developed in Python/C# and integrated with the PICO 4 Enterprise headset, NEUROVISION demonstrated real-time performance across most configurations. The IMIE implant and Object Detection modules were identified as the main computational bottlenecks, while pre-session calibration improved eye-tracking accuracy to 0.48 \(^{\circ }\) . This validation establishes NEUROVISION as a robust test bench for research and visual restoration strategies optimization.