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Computer vision based driver assistance drowsiness detection

Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society. Driver fatigue or sleepiness decreases the driver’s reaction time, reduces attention, and affects the quality of decision making which impairs the driving experience. Therefore, in this paper, a drow...

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Main Authors: Emashharawi, Maryam J. S., Khalifa, Othman Omran, Abdul Malik, Noreha, Abdul Malek, Norun Farihah
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2022
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/99532/1/99532_Computer%20vision%20based%20driver%20assistance.pdf
http://irep.iium.edu.my/99532/2/99532_Computer%20vision%20based%20driver%20assistance_SCOPUS.pdf
http://irep.iium.edu.my/99532/
https://link.springer.com/chapter/10.1007/978-981-16-2406-3_27
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spelling my.iium.irep.995322022-08-22T08:30:23Z http://irep.iium.edu.my/99532/ Computer vision based driver assistance drowsiness detection Emashharawi, Maryam J. S. Khalifa, Othman Omran Abdul Malik, Noreha Abdul Malek, Norun Farihah T Technology (General) Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society. Driver fatigue or sleepiness decreases the driver’s reaction time, reduces attention, and affects the quality of decision making which impairs the driving experience. Therefore, in this paper, a drowsiness detection system is designed based on computer vision, using a cascade of classifiers based on Haar-like features. The system is able to detect the face and eyes of the driver and determine the eyes closure or opening, which concludes the drowsiness of the driver. The paper presents the five primary steps involves which are: video acquirement, frame separation, face detection, eyes detection and drowsiness detection. Springer 2022 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/99532/1/99532_Computer%20vision%20based%20driver%20assistance.pdf application/pdf en http://irep.iium.edu.my/99532/2/99532_Computer%20vision%20based%20driver%20assistance_SCOPUS.pdf Emashharawi, Maryam J. S. and Khalifa, Othman Omran and Abdul Malik, Noreha and Abdul Malek, Norun Farihah (2022) Computer vision based driver assistance drowsiness detection. In: 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020, 24-25 November 2020, Online. https://link.springer.com/chapter/10.1007/978-981-16-2406-3_27 10.1007/978-981-16-2406-3_27
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Emashharawi, Maryam J. S.
Khalifa, Othman Omran
Abdul Malik, Noreha
Abdul Malek, Norun Farihah
Computer vision based driver assistance drowsiness detection
description Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society. Driver fatigue or sleepiness decreases the driver’s reaction time, reduces attention, and affects the quality of decision making which impairs the driving experience. Therefore, in this paper, a drowsiness detection system is designed based on computer vision, using a cascade of classifiers based on Haar-like features. The system is able to detect the face and eyes of the driver and determine the eyes closure or opening, which concludes the drowsiness of the driver. The paper presents the five primary steps involves which are: video acquirement, frame separation, face detection, eyes detection and drowsiness detection.
format Conference or Workshop Item
author Emashharawi, Maryam J. S.
Khalifa, Othman Omran
Abdul Malik, Noreha
Abdul Malek, Norun Farihah
author_facet Emashharawi, Maryam J. S.
Khalifa, Othman Omran
Abdul Malik, Noreha
Abdul Malek, Norun Farihah
author_sort Emashharawi, Maryam J. S.
title Computer vision based driver assistance drowsiness detection
title_short Computer vision based driver assistance drowsiness detection
title_full Computer vision based driver assistance drowsiness detection
title_fullStr Computer vision based driver assistance drowsiness detection
title_full_unstemmed Computer vision based driver assistance drowsiness detection
title_sort computer vision based driver assistance drowsiness detection
publisher Springer
publishDate 2022
url http://irep.iium.edu.my/99532/1/99532_Computer%20vision%20based%20driver%20assistance.pdf
http://irep.iium.edu.my/99532/2/99532_Computer%20vision%20based%20driver%20assistance_SCOPUS.pdf
http://irep.iium.edu.my/99532/
https://link.springer.com/chapter/10.1007/978-981-16-2406-3_27
_version_ 1743106838504669184
score 13.211869

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