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Fuzzy-Rule-Based Object Identification Methodology for NAVI System

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.

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Correspondence to R. Nagarajan.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Nagarajan, R., Sainarayanan, G., Yaacob, S. et al. Fuzzy-Rule-Based Object Identification Methodology for NAVI System. EURASIP J. Adv. Signal Process. 2005, 670191 (2005). https://doi.org/10.1155/ASP.2005.2260

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

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