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Driver inattention monitoring system for intelligent vehicles: A review
This paper gives a review of the literature on driver inattention monitoring system for the purpose of active safe driving. In this paper driving inattention is classified into two categories: fatigue and distraction, while fatigue and distraction can also contain many types and levels. Individual d...
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creator | Dong, Yanchao Hu, Zhencheng Uchimura, Keiichi Murayama, Nobuki |
description | This paper gives a review of the literature on driver inattention monitoring system for the purpose of active safe driving. In this paper driving inattention is classified into two categories: fatigue and distraction, while fatigue and distraction can also contain many types and levels. Individual difference on inattention phenomenon makes it more complicated to correctly detect and recognize driving inattention. Driver attention monitoring has been intensively researched in recent years and many approaches have been proposed, which include biological signal (EEG, ECG, EOG and sEMG) processing method, subjective report method, and behavior analysis method. This survey reviews a number of promising approaches and provides an overview of recent developments in this domain. The emphasis of this paper is to discuss the various methodologies to monitor driving inattention. We conclude with some thoughts about future directions. |
doi_str_mv | 10.1109/IVS.2009.5164395 |
format | conference_proceeding |
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identifier | ISSN: 1931-0587 |
ispartof | 2009 IEEE Intelligent Vehicles Symposium, 2009, p.875-880 |
issn | 1931-0587 2642-7214 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Accidents Biomedical monitoring Computer crashes Delay Eyes Fatigue Intelligent vehicles US Department of Transportation Vehicle driving Vehicle safety |
title | Driver inattention monitoring system for intelligent vehicles: A review |
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