Fuzzy-rule-based object identification methodology for NAVI system

Authors:
R. Nagarajan;G. Sainarayanan;Sazali Yaacob;Rosalyn R. Porle
Affiliations:
Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia;Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia;School of Mechatronic Engineering, Northern Malaysia University College of Engineering, Arau, Perlis, Malaysia;Artificial Intelligence Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

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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.