Design and Evaluation of an Eye Disease Simulator


This paper presents the look, development, and preliminary analysis of a pc-based system capable of simulating the implications of many eye diseases in human vision. The system consists of a video camera, a laptop, 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 employment of filters or masks, users can expertise eye pathologies like glaucoma, hemianopsia, macular degeneration, retinitis pigmentosa, among others. The system was validated by qualified experts and evaluated by healthy sighted in tasks like reading and mobility. Results obtained allowed users to develop a larger awareness of the nature of visual impairments. The system is also meant to be used as a technological platform for testing assistive devices for visually impaired folks.

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