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
Link To Document :
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