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.

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Validation of an Integrated Virtual Reality Platform for Low Vision and Visual Neuroprostheses Simulation

  • Maria del Mar Ayuso Arroyave,
  • Leili Soo,
  • Antonio Lozano,
  • Roberto Morollón Ruiz,
  • Aimee Solzbacher,
  • Cristina Soto-Sánchez,
  • Eduardo Fernandez

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.