Fuzzy image processing scheme for autonomous navigation of human blind

Sainarayanan , Gopala and Nagarajan, R. and Sazali Yaacob, (2007) Fuzzy image processing scheme for autonomous navigation of human blind. Applied Soft Computing, 7 (1). pp. 257-264. ISSN 1568-4946

[img]
Preview
PDF
199Kb

Official URL: http://dx.doi.org/10.1016/j.asoc.2005.06.005

Abstract

The main objective of this work is to develop an electronic travel aid to assist the blinds for obstacle identification in their navigation. This navigation assistance for visually impaired (NAVI) system presented in this paper consists of a single board processing system (SBPS), a vision sensor mounted headgear and a pair of stereo earphones. The image environment in front of the blind is captured by the vision sensor. The image is processed by a new real time image processing scheme using fuzzy clustering algorithms. The processed image is mapped onto a specially structured stereo acoustic patterns and transferred to the stereo earphones in the system. Blind individuals were trained with NAVI system and tested for obstacle identification. Suggestions from the blind volunteers regarding pleasantness and discrimination of sound pattern were also incorporated in the prototype. The proposed processing methodology is found to be effective for object identification and for producing stereo sound patterns in the NAVI system. (C) 2005 Elsevier B.V. All rights reserved.

Item Type:Article
Uncontrolled Keywords:Electronic travel aid, Blind navigation, Fuzzy clustering, Pattern recognition, Sonification, Vision substitution, Image processing
Subjects:?? TA1501-1820 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:1170
Deposited By:IR Admin
Deposited On:22 Sep 2011 16:03
Last Modified:18 Feb 2015 12:29

Repository Staff Only: item control page


Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository