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A Study on Driver Fatigue Notification Systems

This paper is an introduction to our research which aims to develop a driver safety assistant system using an in vehicle video camera. It is a real-time recognition system which uses vision sensors to detect passengers and driver fatigue conditions. The system assesses the ability of conducting safe...

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Main Authors: Alsibai, Mohammad Hayyan, Abdul Manap, Sulastri
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/11921/1/A%20Study%20on%20Driver%20Fatigue%20Notification%20Systems.pdf
http://umpir.ump.edu.my/id/eprint/11921/7/ftek-2016-hayyan-Study%20on%20Driver%20Fatigue.pdf
http://umpir.ump.edu.my/id/eprint/11921/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0916_5022.pdf
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id my.ump.umpir.11921
record_format eprints
spelling my.ump.umpir.119212018-02-02T07:03:20Z http://umpir.ump.edu.my/id/eprint/11921/ A Study on Driver Fatigue Notification Systems Alsibai, Mohammad Hayyan Abdul Manap, Sulastri T Technology (General) This paper is an introduction to our research which aims to develop a driver safety assistant system using an in vehicle video camera. It is a real-time recognition system which uses vision sensors to detect passengers and driver fatigue conditions. The system assesses the ability of conducting safe driving and notifies the driver for any dangerous situation. Moreover, safety actions are to be performed by an embedded vehicle controlling system. This review paper is to assess the current status of research. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11921/1/A%20Study%20on%20Driver%20Fatigue%20Notification%20Systems.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11921/7/ftek-2016-hayyan-Study%20on%20Driver%20Fatigue.pdf Alsibai, Mohammad Hayyan and Abdul Manap, Sulastri (2016) A Study on Driver Fatigue Notification Systems. ARPN Journal of Engineering and Applied Sciences, 11 (18). pp. 10987-10992. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0916_5022.pdf
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Alsibai, Mohammad Hayyan
Abdul Manap, Sulastri
A Study on Driver Fatigue Notification Systems
description This paper is an introduction to our research which aims to develop a driver safety assistant system using an in vehicle video camera. It is a real-time recognition system which uses vision sensors to detect passengers and driver fatigue conditions. The system assesses the ability of conducting safe driving and notifies the driver for any dangerous situation. Moreover, safety actions are to be performed by an embedded vehicle controlling system. This review paper is to assess the current status of research.
format Article
author Alsibai, Mohammad Hayyan
Abdul Manap, Sulastri
author_facet Alsibai, Mohammad Hayyan
Abdul Manap, Sulastri
author_sort Alsibai, Mohammad Hayyan
title A Study on Driver Fatigue Notification Systems
title_short A Study on Driver Fatigue Notification Systems
title_full A Study on Driver Fatigue Notification Systems
title_fullStr A Study on Driver Fatigue Notification Systems
title_full_unstemmed A Study on Driver Fatigue Notification Systems
title_sort study on driver fatigue notification systems
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/11921/1/A%20Study%20on%20Driver%20Fatigue%20Notification%20Systems.pdf
http://umpir.ump.edu.my/id/eprint/11921/7/ftek-2016-hayyan-Study%20on%20Driver%20Fatigue.pdf
http://umpir.ump.edu.my/id/eprint/11921/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0916_5022.pdf
_version_ 1643666771302940672
score 13.159267

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