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Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts
Guo, Zizheng1,2; Pan, Yufan2; Zhao, Guozhen1; Cao, Shi3; Zhang, Jun2
2018-03-01
发表期刊IEEE TRANSACTIONS ON RELIABILITY
ISSN0018-9529
文章类型Article
卷号67期号:1页码:370-380
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摘要

Quantitative estimation of a driver's vigilance level has a great value for improving driving safety and preventing accidents. Previous studies have identified correlations between electroencephalogram (EEG) spectrum power and a driver's mental states such as vigilance and alertness. Studies have also built classification models that can estimate vigilance state changes based on data collected from drivers. In the present study, we propose a system to detect vigilance level using not only a driver's EEG signals but also driving contexts as inputs. We combined a support vector machine with particle swarm optimization methods to improve classification accuracy. A simulated driving task was conducted to demonstrate the reliability of the proposed system. Twenty participants were assigned a 2-h sustained-attention driving task to identify a lead car's brake events. Our system was able to account for 84.1% of experimental reaction times with 162-ms prediction errors. A newly introduced driving context factor, road curves, improved the prediction accuracy by 2-5% with 30-80 ms smaller errors. These findings demonstrated the potential value of the proposed system for estimating driver vigilance level on a time scale of seconds.

关键词Driver vigilance driving context driving safety electroencephalogram (EEG) support vector machine (SVM)
DOI10.1109/TR.2017.2778754
收录类别SCI
语种英语
项目资助者National Key Research and Development Plan(2016YFB1001200) ; National Natural Science Foundation of China(51108390 ; 31771226)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号WOS:000426678500030
WOS标题词Science & Technology ; Technology
关键词[WOS]INDEPENDENT COMPONENT ANALYSIS ; WEARABLE EEG ; SYSTEM ; ALERTNESS ; AWARENESS ; PERFORMANCE ; DROWSINESS ; ARTIFACTS ; WIRELESS ; DYNAMICS
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26057
专题中国科学院行为科学重点实验室
作者单位1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Sichuan, Peoples R China
3.Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
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GB/T 7714
Guo, Zizheng,Pan, Yufan,Zhao, Guozhen,et al. Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts[J]. IEEE TRANSACTIONS ON RELIABILITY,2018,67(1):370-380.
APA Guo, Zizheng,Pan, Yufan,Zhao, Guozhen,Cao, Shi,&Zhang, Jun.(2018).Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts.IEEE TRANSACTIONS ON RELIABILITY,67(1),370-380.
MLA Guo, Zizheng,et al."Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts".IEEE TRANSACTIONS ON RELIABILITY 67.1(2018):370-380.
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