Design and Evaluation of an Eye Disease Simulator

This paper presents the design, development, and preliminary evaluation of a computer-based system capable of simulating the consequences of several eye diseases in human vision. The system consists of a video camera, a computer, and a virtual reality (VR) helmet. Real-time image processing techniques are applied to the camera's video signal and the result is projected on the VR helmet. Upon the use of filters or masks, users can experience eye pathologies such as glaucoma, hemianopsia, macular degeneration, retinitis pigmentosa, among others. The system was validated by qualified experts and evaluated by healthy sighted in tasks such as reading and mobility. Results obtained allowed users to develop a greater awareness of the nature of visual impairments. The system is also intended to be used as a technological platform for testing assistive devices for visually impaired people.