Open Access

Fuzzy-Rule-Based Object Identification Methodology for NAVI System

  • R. Nagarajan1Email author,
  • G. Sainarayanan1,
  • Sazali Yaacob2 and
  • Rosalyn R. Porle1
EURASIP Journal on Advances in Signal Processing20052005:670191

https://doi.org/10.1155/ASP.2005.2260

Received: 29 December 2003

Published: 25 August 2005

Abstract

We present an object identification methodology applied in a navigation assistance for visually impaired (NAVI) system. The NAVI has a single board processing system (SBPS), a digital video camera mounted headgear, and a pair of stereo earphones. The captured image from the camera is processed by the SBPS to generate a specially structured stereo sound suitable for vision impaired people in understanding the presence of objects/obstacles in front of them. The image processing stage is designed to identify the objects in the captured image. Edge detection and edge-linking procedures are applied in the processing of image. A concept of object preference is included in the image processing scheme and this concept is realized using a fuzzy-rule base. The blind users are trained with the stereo sound produced by NAVI for achieving a collision-free autonomous navigation.

Keywords and phrases

blind navigation edge detection object identification fuzzy-rule-based stereo sound

Authors’ Affiliations

(1)
Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah
(2)
School of Mechatronic Engineering, Northern Malaysia University College of Engineering

Copyright

© Nagarajan et al. 2005