Nagarajan, R. and Sainarayanan , Gopala and Sazali Yaacob and Rosalyn R. Porle, (2005) Fuzzy-rule-based object identification methodology for NAVI system. In: Conference of fuzzy-rule-based object identification methodology for NAVI system, 2005, Kuala Lumpur, Malaysia.
Full text not available from this repository.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.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Keyword: | Blind navigation, Edge detection,Object identification, Fuzzy-rule-based, Stereo sound. |
Subjects: | Q Science > QA Mathematics |
Department: | SCHOOL > School of Engineering and Information Technology |
Depositing User: | ADMIN ADMIN |
Date Deposited: | 23 Feb 2011 16:26 |
Last Modified: | 29 Dec 2014 16:18 |
URI: | https://eprints.ums.edu.my/id/eprint/1863 |
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