基于粗糙集的汽车驾驶员疲劳监测方法的研究

Research on driver fatigue monitoring based on Rough set

通过采集脑电α波、脉搏信号、心率信号等生理信号,基于粗糙集理论进行驾驶员生理信号疲劳特征的提取,建立疲劳监测的决策规则.实验证明,该方法可准确判别驾驶员的疲劳状态.

Through acquainting such physiological signals of a driver as alpha brain wave,pulse and heart rate,their fatigue characteristics were extracted on the basis of rough set theory.A decision rule was established for fatigue monitoring.The experimental results show that the fatigue state of the driver can be accurately judged by means of the above method.