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Detecting Driving Fatigue Based on Electroencephalogram

发布时间:2016-10-07 09:37

  本文关键词:基于脑电信号的驾驶疲劳检测研究,,由笔耕文化传播整理发布。


基于脑电信号的驾驶疲劳检测研究 Detecting Driving Fatigue Based on Electroencephalogram

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摘要:

研究利用脑电信号(EEG)判断驾驶员的疲劳程度. 基于疲劳驾驶实验平台进行模拟驾驶实验,综合实验视频图像和驾驶员自我评价进行主观疲劳评测. 利用生理检测仪采集驾驶员的脑电波,对比分析脑电信号不同频带信号功率谱值和驾驶员的主观疲劳评测之间的关系. 结果表明:主观疲劳评测与脑电信号中功率谱值的变化相对应,脑电功率谱的比值(α+θ)/β越大,疲劳等级越高.

Abstract:

Detection of driving fatigue is studied based on electroencephalogram(EEG). Driving simulator experiments were made on the fatigue driving experiment platform, and subjective fatigue evaluations were made based on experimental video and fatigue self-evaluation. EEG data were recorded by an EEG recording instrument, driving fatigue was analysed by comparing the relation of EEG characters and subjective fatigue evaluations. The (α+θ)/β power spectrum of EEG corresponds with subjective fatigue evaluation. Driving fatigue rating can be estimated by the (α+θ)/β power spectrum of EEG.


  本文关键词:基于脑电信号的驾驶疲劳检测研究,由笔耕文化传播整理发布。



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