title: [Review of driver fatigue/drowsiness detection methods].
abstract: Driver fatigue/drowsiness is one of the important causes of serious traffic accidents and results in so many people deaths or injuries, but also substantial directly and indirectly economic expenses. Therefore, many countries make great effort on how to detect drowsiness during driving. In this paper, we introduce the recent developments of driver fatigue/drowsiness detection technology of world wide and try to classify the existing methods into several kinds according to different features measured, and analyzed. Finally, the challenges faced to fatigue/drowsiness detection technology and the development trend are presented.
authors.affiliation: School of Information Science and Engineering, Shandong University, Ji'nan 250100, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.forename: Xiaojuan
authors.initials: X
authors.lastname: Wu
authors.forename: Mengsun
authors.initials: M
authors.lastname: Yu
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D001334:Automobile Driving; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D005222:Mental Fatigue / Q000175:diagnosis* / Q000503:physiopathology; D008962:Models, Theoretical; D012894:Sleep Stages; D013647:Task Performance and Analysis