Institutional Repository of Key Laboratory of Behavioral Science, CAS
Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts | |
Guo, Zizheng1,2; Pan, Yufan2; Zhao, Guozhen1; Cao, Shi3; Zhang, Jun2 | |
第一作者 | Guo, Zizheng |
通讯作者邮箱 | zhaogz@psych.ac.cn |
心理所单位排序 | 1 |
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) |
2018-03-01 | |
语种 | 英语 |
DOI | 10.1109/TR.2017.2778754 |
发表期刊 | IEEE Transactions on Reliability |
ISSN | 0018-9529 |
卷号 | 67期号:1页码:370-380 |
收录类别 | SCI |
WOS关键词 | INDEPENDENT COMPONENT ANALYSIS ; WEARABLE EEG ; SYSTEM ; ALERTNESS ; AWARENESS ; PERFORMANCE ; DROWSINESS ; ARTIFACTS ; WIRELESS ; DYNAMICS |
WOS标题词 | Science & Technology ; Technology |
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分区 | Q1 |
Q分类 | Q1 |
资助机构 | National Key Research and Development Plan(2016YFB1001200) ; National Natural Science Foundation of China(51108390 ; 31771226) |
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 |
通讯作者 | Zhao, Guozhen |
作者单位 | 1.Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy Sciences, Beijing 100101, China 2.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China 3.Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Detection of Driver (1066KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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