Drowsiness Detection System Based on Machine Learning Using Eye State

Urhan, Oğuzhan; OZTURK, EMINE MERVE; Küçükmanisa, Ayhan

doi:10.17694/bajece.1028110

Drowsiness Detection System Based on Machine Learning Using Eye State

EMINE MERVE OZTURK, (Kocaeli Üniversitesi, Elektronik ve Haberleşme Mühendisliği Bölümü, Kocaeli, Türkiye)

Ayhan KÜÇÜKMANİSA, (Kocaeli Üniversitesi, Elektronik ve Haberleşme Mühendisliği Bölümü, Kocaeli, Türkiye)

Oğuzhan URHAN (Kocaeli Üniversitesi, Elektronik ve Haberleşme Mühendisliği Bölümü, Kocaeli, Türkiye)

Balkan Journal of Electrical and Computer Engineering

12 3

Yıl: 2022 Cilt: 10 Sayı: 3 Sayfa Aralığı: 258 - 263 Metin Dili: İngilizce DOI: 10.17694/bajece.1028110 İndeks Tarihi: 12-09-2022

Drowsiness Detection System Based on Machine Learning Using Eye State

Öz:

Drowsiness is one of the major causes of driver-induced traffic accidents. The interactive systems developed to reduce road accidents by alerting drivers is called as Advanced Driver Assistance Systems (ADAS). The most important ADAS are Lane Departure Warning System, Front Collision Warning System and Driver Drowsiness Systems. In this study, an ADAS system based on eye state detection is presented to detect driver drowsiness. First, Viola-Jones algorithm approach is used to detect the face and eye areas in the proposed method. The detected eye region is classified as closed or open by making use of a machine learning method. Finally, the eye conditions are analyzed at time domain with PERcentage of eyelid CLOsure (PERCLOS) metric and drowsiness conditions are determined by Support Vector Machine (SVM), kNN and decision tree classifiers. The proposed methods tested on 7 real people and drowsiness states are detected at 99.77%, 94.35%, and 96.62% accuracy, respectively.

Anahtar Kelime: Driver Drowsiness ADAS PERCLOS

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	OZTURK E, Küçükmanisa A, Urhan O (2022). Drowsiness Detection System Based on Machine Learning Using Eye State. , 258 - 263. 10.17694/bajece.1028110
Chicago	OZTURK EMINE MERVE,Küçükmanisa Ayhan,Urhan Oğuzhan Drowsiness Detection System Based on Machine Learning Using Eye State. (2022): 258 - 263. 10.17694/bajece.1028110
MLA	OZTURK EMINE MERVE,Küçükmanisa Ayhan,Urhan Oğuzhan Drowsiness Detection System Based on Machine Learning Using Eye State. , 2022, ss.258 - 263. 10.17694/bajece.1028110
AMA	OZTURK E,Küçükmanisa A,Urhan O Drowsiness Detection System Based on Machine Learning Using Eye State. . 2022; 258 - 263. 10.17694/bajece.1028110
Vancouver	OZTURK E,Küçükmanisa A,Urhan O Drowsiness Detection System Based on Machine Learning Using Eye State. . 2022; 258 - 263. 10.17694/bajece.1028110
IEEE	OZTURK E,Küçükmanisa A,Urhan O "Drowsiness Detection System Based on Machine Learning Using Eye State." , ss.258 - 263, 2022. 10.17694/bajece.1028110
ISNAD	OZTURK, EMINE MERVE vd. "Drowsiness Detection System Based on Machine Learning Using Eye State". (2022), 258-263. https://doi.org/10.17694/bajece.1028110

APA	OZTURK E, Küçükmanisa A, Urhan O (2022). Drowsiness Detection System Based on Machine Learning Using Eye State. Balkan Journal of Electrical and Computer Engineering, 10(3), 258 - 263. 10.17694/bajece.1028110
Chicago	OZTURK EMINE MERVE,Küçükmanisa Ayhan,Urhan Oğuzhan Drowsiness Detection System Based on Machine Learning Using Eye State. Balkan Journal of Electrical and Computer Engineering 10, no.3 (2022): 258 - 263. 10.17694/bajece.1028110
MLA	OZTURK EMINE MERVE,Küçükmanisa Ayhan,Urhan Oğuzhan Drowsiness Detection System Based on Machine Learning Using Eye State. Balkan Journal of Electrical and Computer Engineering, vol.10, no.3, 2022, ss.258 - 263. 10.17694/bajece.1028110
AMA	OZTURK E,Küçükmanisa A,Urhan O Drowsiness Detection System Based on Machine Learning Using Eye State. Balkan Journal of Electrical and Computer Engineering. 2022; 10(3): 258 - 263. 10.17694/bajece.1028110
Vancouver	OZTURK E,Küçükmanisa A,Urhan O Drowsiness Detection System Based on Machine Learning Using Eye State. Balkan Journal of Electrical and Computer Engineering. 2022; 10(3): 258 - 263. 10.17694/bajece.1028110
IEEE	OZTURK E,Küçükmanisa A,Urhan O "Drowsiness Detection System Based on Machine Learning Using Eye State." Balkan Journal of Electrical and Computer Engineering, 10, ss.258 - 263, 2022. 10.17694/bajece.1028110
ISNAD	OZTURK, EMINE MERVE vd. "Drowsiness Detection System Based on Machine Learning Using Eye State". Balkan Journal of Electrical and Computer Engineering 10/3 (2022), 258-263. https://doi.org/10.17694/bajece.1028110