DocumentCode
2537036
Title
The EEG changes during night-time driver fatigue
Author
Xie Xiaoli ; Jiangbi, Hu ; Xiaoming, Liu ; Pingsheng, Li ; Shuyun, Wang
Author_Institution
Transp. Res. Center, Beijing Univ. of Technol., Beijing, China
fYear
2009
fDate
3-5 June 2009
Firstpage
935
Lastpage
939
Abstract
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.
Keywords
driver information systems; electroencephalography; ergonomics; EEG changes; driver fatigue countermeasures; driving fatigue detection; electroencephalography; night time driver fatigue; real-time automatic detecting driver fatigue; traffic accident; Bioelectric phenomena; Brain modeling; Electroencephalography; Fatigue; Fourier transforms; Frequency; Monitoring; Road accidents; Signal analysis; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location
Xi´an
ISSN
1931-0587
Print_ISBN
978-1-4244-3503-6
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2009.5164405
Filename
5164405
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