A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection
Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing. With the development of semiconductor integrated circuit, image processing technology has been used in multifarious f...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3552/1/9-ICoCSIM.pdf |
| _version_ | 1825821408537608192 |
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| author | Kamarul Hawari, Ghazali Jie, Maa Rui, Xiao |
| author_facet | Kamarul Hawari, Ghazali Jie, Maa Rui, Xiao |
| author_sort | Kamarul Hawari, Ghazali |
| collection | UMP |
| description | Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing. With the development of semiconductor integrated circuit, image processing technology has been used in multifarious fields. In this paper, an approach based image processing, was proposed.to detect driver's status behind wheel. The target of the proposed approach is to avoid vehicle accident causing by driver fatigue and to improve vehicle safety. According the result of experimental work, the proposed approach is effective for increasing safe in drive |
| first_indexed | 2024-03-06T11:41:05Z |
| format | Conference or Workshop Item |
| id | UMPir3552 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:41:05Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | UMPir35522018-02-21T05:01:17Z http://umpir.ump.edu.my/id/eprint/3552/ A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection Kamarul Hawari, Ghazali Jie, Maa Rui, Xiao Q Science (General) T Technology (General) Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing. With the development of semiconductor integrated circuit, image processing technology has been used in multifarious fields. In this paper, an approach based image processing, was proposed.to detect driver's status behind wheel. The target of the proposed approach is to avoid vehicle accident causing by driver fatigue and to improve vehicle safety. According the result of experimental work, the proposed approach is effective for increasing safe in drive 2012-12-03 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3552/1/9-ICoCSIM.pdf Kamarul Hawari, Ghazali and Jie, Maa and Rui, Xiao (2012) A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection. In: International Conference on Computational Science and Information Management (ICoCSIM) , 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 51-54.. (Published) |
| spellingShingle | Q Science (General) T Technology (General) Kamarul Hawari, Ghazali Jie, Maa Rui, Xiao A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title | A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title_full | A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title_fullStr | A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title_full_unstemmed | A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title_short | A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection |
| title_sort | perclos based driver fatigue detection based driver fatigue detection |
| topic | Q Science (General) T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/3552/1/9-ICoCSIM.pdf |
| work_keys_str_mv | AT kamarulhawarighazali aperclosbaseddriverfatiguedetectionbaseddriverfatiguedetection AT jiemaa aperclosbaseddriverfatiguedetectionbaseddriverfatiguedetection AT ruixiao aperclosbaseddriverfatiguedetectionbaseddriverfatiguedetection AT kamarulhawarighazali perclosbaseddriverfatiguedetectionbaseddriverfatiguedetection AT jiemaa perclosbaseddriverfatiguedetectionbaseddriverfatiguedetection AT ruixiao perclosbaseddriverfatiguedetectionbaseddriverfatiguedetection |