The EEG changes during night-time driver fatigue

被引：0

作者：

Xie Xiaoli ^{[1
]}

Hu Jiangbi ^{[1
]}

Liu Xiaoming ^{[2
]}

Li Pingsheng ^{[3
]}

Wang Shuyun ^{[1
]}

机构：

[1] Beijing Univ Technol, Transportat Res Ctr, Beijing, Peoples R China

[2] Beijing Municipal Comm Commun, Beijing, Peoples R China

[3] Natl Ctr ITS Engn Technol, Beijing, Peoples R China

来源：

2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Driver fatigue is one of the main causes of traffic accidents. Many researchers believe that electroencephalography is very accurate and promising to detect driving fatigue, but so far, the research results have been variable. Through simulation experiments, this paper found when driving at night, delta band varies significantly with the degree of fatigue. The results have implications for real-time automatic detecting driver fatigue at night and are helpful for future development of driver fatigue countermeasures.

引用

页码：935 / 939

页数：5

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