Fatigue driving detection based on electrooculography: a review

Abstract To accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees of improving traffic safety and reducing traffic accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents a systematic literat...

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Autores principales:	Yuanyuan Tian, Jingyu Cao
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Fatigue driving state monitoring Driving behavior monitoring EOG Literature review Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/58700af99dc740689341ca9e453d0778
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spelling	oai:doaj.org-article:58700af99dc740689341ca9e453d07782021-11-07T12:08:45ZFatigue driving detection based on electrooculography: a review10.1186/s13640-021-00575-11687-5281https://doaj.org/article/58700af99dc740689341ca9e453d07782021-11-01T00:00:00Zhttps://doi.org/10.1186/s13640-021-00575-1https://doaj.org/toc/1687-5281Abstract To accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees of improving traffic safety and reducing traffic accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents a systematic literature review of these technologies and summarizes a basic framework of fatigue driving monitoring system based on EOGs. Then we summarize the advantages and disadvantages of existing technologies. In addition, 80 primary references published during the last decade were identified. The multi-feature fusion technique based on EOGs performs better than other traditional methods due to its low cost, low power consumption and low intrusion, while its application is still limited which needs more efforts to obtain good and generalizable results. And then, an overview of the literature on technology is given, revealing a premier and unbiased survey of the existing empirical research of classification techniques that have been applied to fatigue driving analysis. Finally, this paper adds value to the current literature by investigating the application of EOG signals in fatigued driving and the design of related systems, future guidelines have been provided to practitioners and researchers to grasp the major contributions and challenges in the state-of-the-art research.Yuanyuan TianJingyu CaoSpringerOpenarticleFatigue driving state monitoringDriving behavior monitoringEOGLiterature reviewElectronicsTK7800-8360ENEURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fatigue driving state monitoring Driving behavior monitoring EOG Literature review Electronics TK7800-8360
spellingShingle	Fatigue driving state monitoring Driving behavior monitoring EOG Literature review Electronics TK7800-8360 Yuanyuan Tian Jingyu Cao Fatigue driving detection based on electrooculography: a review
description	Abstract To accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees of improving traffic safety and reducing traffic accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents a systematic literature review of these technologies and summarizes a basic framework of fatigue driving monitoring system based on EOGs. Then we summarize the advantages and disadvantages of existing technologies. In addition, 80 primary references published during the last decade were identified. The multi-feature fusion technique based on EOGs performs better than other traditional methods due to its low cost, low power consumption and low intrusion, while its application is still limited which needs more efforts to obtain good and generalizable results. And then, an overview of the literature on technology is given, revealing a premier and unbiased survey of the existing empirical research of classification techniques that have been applied to fatigue driving analysis. Finally, this paper adds value to the current literature by investigating the application of EOG signals in fatigued driving and the design of related systems, future guidelines have been provided to practitioners and researchers to grasp the major contributions and challenges in the state-of-the-art research.
format	article
author	Yuanyuan Tian Jingyu Cao
author_facet	Yuanyuan Tian Jingyu Cao
author_sort	Yuanyuan Tian
title	Fatigue driving detection based on electrooculography: a review
title_short	Fatigue driving detection based on electrooculography: a review
title_full	Fatigue driving detection based on electrooculography: a review
title_fullStr	Fatigue driving detection based on electrooculography: a review
title_full_unstemmed	Fatigue driving detection based on electrooculography: a review
title_sort	fatigue driving detection based on electrooculography: a review
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/58700af99dc740689341ca9e453d0778
work_keys_str_mv	AT yuanyuantian fatiguedrivingdetectionbasedonelectrooculographyareview AT jingyucao fatiguedrivingdetectionbasedonelectrooculographyareview
_version_	1718443547117486080

Fatigue driving detection based on electrooculography: a review

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