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作者:

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

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EI Scopus

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. © 2009 IEEE.

关键词:

Electrophysiology Intelligent vehicle highway systems Electroencephalography

作者机构:

  • [ 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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年份: 2009

页码: 935-939

语种: 英文

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SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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