Driver Sleepiness Detection System Based on Eye Movements Variables
Joint Authors
Jin, Lisheng
Jiang, Yuying
Qin, Yanguang
Xu, Meijiao
Niu, Qingning
Xian, Huacai
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Driver sleepiness is a hazard state, which can easily lead to traffic accidents.
To detect driver sleepiness in real time, a novel driver sleepiness detection system using support vector machine (SVM) based on eye movements is proposed.
Eye movements data are collected using SmartEye system in a driving simulator experiment.
Characteristic parameters, which include blinking frequency, gaze direction, fixation time, and PERCLOS, are extracted based on the data using a statistical method.
13 sleepiness detection models including 12 specific models and 1 general model are developed based on SVM.
Experimental results demonstrate that eye movements can be used to detect driver sleepiness in real time.
The detecting accuracy of the specific models significantly exceeds the general model (P<0.001), suggesting that individual differences are an important consideration when building detection algorithms for different drivers.
American Psychological Association (APA)
Jin, Lisheng& Niu, Qingning& Jiang, Yuying& Xian, Huacai& Qin, Yanguang& Xu, Meijiao. 2013. Driver Sleepiness Detection System Based on Eye Movements Variables. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-488028
Modern Language Association (MLA)
Jin, Lisheng…[et al.]. Driver Sleepiness Detection System Based on Eye Movements Variables. Advances in Mechanical Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-488028
American Medical Association (AMA)
Jin, Lisheng& Niu, Qingning& Jiang, Yuying& Xian, Huacai& Qin, Yanguang& Xu, Meijiao. Driver Sleepiness Detection System Based on Eye Movements Variables. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-488028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488028