• DocumentCode
    3036637
  • Title

    Indoor Navigational Aid System for the Visually Impaired

  • Author

    Sarfraz, M. ; Rizvi, S. M Ali J

  • Author_Institution
    King Fahd Univ. of Pet. & Miner., Dhahran
  • fYear
    2007
  • fDate
    4-6 July 2007
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    A navigation aid system provides additional help to a visually impaired person in navigation. It helps to move in a given environment with certain level of confidence in the absence of own visual ability. Using cane, or pet dog are conventional ways of navigational aid. Researchers have recently developed navigational aid systems based on various computer technologies. For example radio-frequency identification tags, Global Positioning System, Geographical Information System, and vision-to-sound systems using sensory substitution. These innovative approaches provide beneficial systems but are tied to some limitation. Dependence upon installed hardware devices, remote information server, GPS signal are some of the limitations faced by the existing contemporary research in navigational aid systems. We propose to develop a computer vision based system that would use camera vision input and text-to-speech synthesized output to provide navigation aid. It will be independent from any remote factors and will have the inherent characteristic of improvement with further advancements in computer vision.
  • Keywords
    computer vision; handicapped aids; image sensors; navigation; speech synthesis; Geographical Information System; Global Positioning System; camera vision; computer vision based system; indoor navigational aid system; radio-frequency identification tags; remote information server; sensory substitution; text-to-speech synthesized; vision-to-sound systems; visually impaired; Cameras; Computer vision; Face detection; Global Positioning System; Hardware; Information systems; Positron emission tomography; Radio frequency; Radio navigation; Radiofrequency identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging, 2007. GMAI '07
  • Conference_Location
    Zurich
  • Print_ISBN
    0-7695-2901-1
  • Type

    conf

  • DOI
    10.1109/GMAI.2007.23
  • Filename
    4271732