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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2009.5164405