• DocumentCode
    2075537
  • 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
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    300
  • Lastpage
    303
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6345928
  • Filename
    6345928