Title :
Smart image processing system for retinal prosthesis
Author :
Weiland, James D. ; Parikh, N. ; Pradeep, V. ; Medioni, Gerard
Author_Institution :
Doheny Eye Inst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
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.
Keywords :
artificial organs; computer vision; eye; handicapped aids; computer vision algorithms; low vision patients; mobility course navigation; object detection algorithm; retinal prosthesis; smart image processing system; visual task performance; Cameras; Computer vision; Image processing; Navigation; Prosthetics; Retina; Visualization; Algorithms; Blindness; Eye, Artificial; Female; Humans; Image Processing, Computer-Assisted; Male; Retina; Task Performance and Analysis; Visual Prosthesis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6345928