Fuzzy-rule-based object identification methodology for NAVI system
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 th...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2005
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| _version_ | 1796909554830671872 |
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| author | Nagarajan, R. Sainarayanan , Gopala Sazali Yaacob Rosalyn R. Porle, |
| author_facet | Nagarajan, R. Sainarayanan , Gopala Sazali Yaacob Rosalyn R. Porle, |
| author_sort | Nagarajan, R. |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-04-21T02:28:11Z |
| format | Conference or Workshop Item |
| id | ums.eprints-1863 |
| institution | Universiti Malaysia Sabah |
| last_indexed | 2024-04-21T02:28:11Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | ums.eprints-18632014-12-29T08:18:41Z https://eprints.ums.edu.my/id/eprint/1863/ Fuzzy-rule-based object identification methodology for NAVI system Nagarajan, R. Sainarayanan , Gopala Sazali Yaacob Rosalyn R. Porle, QA Mathematics 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. 2005 Conference or Workshop Item PeerReviewed 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. http://dx.doi.org/10.1155/ASP.2005.2260 |
| spellingShingle | QA Mathematics Nagarajan, R. Sainarayanan , Gopala Sazali Yaacob Rosalyn R. Porle, Fuzzy-rule-based object identification methodology for NAVI system |
| title | Fuzzy-rule-based object identification methodology for NAVI system |
| title_full | Fuzzy-rule-based object identification methodology for NAVI system |
| title_fullStr | Fuzzy-rule-based object identification methodology for NAVI system |
| title_full_unstemmed | Fuzzy-rule-based object identification methodology for NAVI system |
| title_short | Fuzzy-rule-based object identification methodology for NAVI system |
| title_sort | fuzzy rule based object identification methodology for navi system |
| topic | QA Mathematics |
| work_keys_str_mv | AT nagarajanr fuzzyrulebasedobjectidentificationmethodologyfornavisystem AT sainarayanangopala fuzzyrulebasedobjectidentificationmethodologyfornavisystem AT sazaliyaacob fuzzyrulebasedobjectidentificationmethodologyfornavisystem AT rosalynrporle fuzzyrulebasedobjectidentificationmethodologyfornavisystem |