Monitoring driver's alertness based on the driving performance estimation and the EEG power spectrum analysis

被引:37
作者
Liang, S. F.
Lin, C. T.
Wu, R. C.
Chen, Y. C.
Huang, T. Y.
Jung, T. P.
机构
来源
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词
alertness; EEG; power spectrum; correlation analysis; linear regression model;
D O I
10.1109/IEMBS.2005.1615791
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Preventing accidents caused by drowsiness behind the steering wheel is highly desirable but requires techniques for continuously estimating driver's abilities of perception, recognition and vehicle control abilities. This paper proposes methods for drowsiness estimation that combine the electroencephalogram (EEG) log subband power spectrum, correlation analysis, principal component analysis, and linear regression models to indirectly estimate driver's drowsiness level in a virtual-reality-based driving simulator. Results show that it is feasible to quantitatively monitor driver's alertness with concurrent changes in driving performance in a realistic driving simulator.
引用
收藏
页码:5738 / 5741
页数:4
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