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Drowsiness Detection in Drivers: A Review

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IJCA Proceedings on International Conference on Advances in Science and Technology
© 2015 by IJCA Journal
ICAST 2014 - Number 2
Year of Publication: 2015
Authors:
Pooja C. Rane
Manjusha Deshmukh

Pooja C Rane and Manjusha Deshmukh. Article: Drowsiness Detection in Drivers: A Review. IJCA Proceedings on International Conference on Advances in Science and Technology ICAST 2014(2):27-29, February 2015. Full text available. BibTeX

@article{key:article,
	author = {Pooja C. Rane and Manjusha Deshmukh},
	title = {Article: Drowsiness Detection in Drivers: A Review},
	journal = {IJCA Proceedings on International Conference on Advances in Science and Technology},
	year = {2015},
	volume = {ICAST 2014},
	number = {2},
	pages = {27-29},
	month = {February},
	note = {Full text available}
}

Abstract

Inattentiveness in drivers is the major contributing factor in road crashes. Inattention can be caused by several reasons and one amongst them is fatigue. Fatigue is the subjective feeling of tiredness which is distinct from weakness. Fatigue can be defined as the state of impairment that can include physical, mental or both the elements associated with lower alertness and reduced performance. Thus performing a physical activity becomes difficult with the increasing fatigue level. Fatigue can have physical or mental causes. Alertness of a person is typically characterized by the various visual cues like eyelid movement, gaze movement, head movement and facial expressions. They can also be deduced from the driver's behaviour with the vehicle like distance maintained between vehicles, lane deviation, steering wheel control, breaking and gearing of the vehicle. Mental state of the driver can best be determined from the Electroencephalogram signals. This paper gives a brief review of the various visual and non-visual cues to detect the inattentiveness in drivers and in turn helps in reducing the probabilities of mishaps caused due to the fatigue

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