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

Received: 29 December 2003

Published: 25 August 2005


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

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


© Nagarajan et al. 2005