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Author:

Xiaoli, Xie (Xiaoli, Xie.) | Jiangbi, Hu (Jiangbi, Hu.) (Scholars:胡江碧) | Xiaoming, Liu (Xiaoming, Liu.) (Scholars:刘小明) | Pingsheng, Li (Pingsheng, Li.) | Shuyun, Wang (Shuyun, Wang.)

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EI Scopus

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. © 2009 IEEE.

Keyword:

Electrophysiology Intelligent vehicle highway systems Electroencephalography

Author Community:

  • [ 1 ] [Xiaoli, Xie]Transportation Research Center, Beijing University of Technology, China
  • [ 2 ] [Jiangbi, Hu]Transportation Research Center, Beijing University of Technology, China
  • [ 3 ] [Xiaoming, Liu]Beijing Municipal Committee of Communications, China
  • [ 4 ] [Pingsheng, Li]National Center of ITS Engineering and Technology, China
  • [ 5 ] [Shuyun, Wang]Transportation Research Center, Beijing University of Technology, China

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Year: 2009

Page: 935-939

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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