Smart image processing system for retinal prosthesis.
Retinal prostheses for the blind have demonstrated the ability to provide the sensation of light in otherwise blind individuals. However, visual task performance in these patients remains poor relative to someone with normal vision. Computer vision algorithms for navigation and object detection were evaluated for their ability to improve task performance. Blind subjects navigating a mobility course had fewer collisions when using a wearable camera system that guided them on a safe path. Subjects using a retinal prosthesis simulator could locate objects more quickly when an object detection algorithm assisted them. Computer vision algorithms can assist retinal prosthesis patients and low-vision patients in general.
Doheny Eye Institute/University of Southern California, USA.
James D
JD
Weiland
Neha
N
Parikh
Vivek
V
Pradeep
Gerard
G
Medioni
D000465:Algorithms; D001766:Blindness; D005137:Eye, Artificial; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D008297:Male; D012160:Retina; D013647:Task Performance and Analysis; D057488:Visual Prosthesis