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基于脑电信号的驾驶疲劳检测研究
引用本文:吴绍斌,高利,王刘安.基于脑电信号的驾驶疲劳检测研究[J].北京理工大学学报,2009,29(12):1072-1075.
作者姓名:吴绍斌  高利  王刘安
作者单位:北京理工大学,机械与车辆学院,北京,1000081;北京理工大学,机械与车辆学院,北京,1000081;北京理工大学,机械与车辆学院,北京,1000081
基金项目:国家"八六三"计划项目 
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.

关 键 词:驾驶疲劳  脑电  疲劳等级  主观评测
收稿时间:3/5/2009 12:00:00 AM

Detecting Driving Fatigue Based on Electroencephalogram
WU Shao-bin,GAO Li and WANG Liu-an.Detecting Driving Fatigue Based on Electroencephalogram[J].Journal of Beijing Institute of Technology(Natural Science Edition),2009,29(12):1072-1075.
Authors:WU Shao-bin  GAO Li and WANG Liu-an
Institution:School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
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.
Keywords:driving fatigue  electroencephalogram (EEG)  fatigue rating  subjective evaluation
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