A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection

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...

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Main Authors: Kamarul Hawari, Ghazali, Jie, Maa, Rui, Xiao
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/3552/
http://umpir.ump.edu.my/id/eprint/3552/1/9-ICoCSIM.pdf
id ump-3552
recordtype eprints
spelling ump-35522018-02-21T05:01:17Z 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..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Kamarul Hawari, Ghazali
Jie, Maa
Rui, Xiao
A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection
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
format Conference or Workshop Item
author Kamarul Hawari, Ghazali
Jie, Maa
Rui, Xiao
author_facet Kamarul Hawari, Ghazali
Jie, Maa
Rui, Xiao
author_sort Kamarul Hawari, Ghazali
title A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection
title_short 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_sort perclos-based driver fatigue detection based driver fatigue detection
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/3552/
http://umpir.ump.edu.my/id/eprint/3552/1/9-ICoCSIM.pdf
first_indexed 2023-09-18T21:57:55Z
last_indexed 2023-09-18T21:57:55Z
_version_ 1777414203442724864

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