The EEG changes during night-time driver fatigue

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, d...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaoli, Xie, Jiangbi, Hu, Xiaoming, Liu, Pingsheng, Li, Shuyun, Wang
Format: Conference Proceeding
Language:English
Subjects:
Bioelectric phenomena
Brain modeling
Electroencephalography
Fatigue
Fourier transforms
Frequency
Monitoring
Road accidents
Signal analysis
Transportation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1931-0587
2642-7214
DOI:10.1109/IVS.2009.5164405