基于脑电识别与车辆操纵特征的驾驶疲劳检测分析

Analysis of Driving Fatigue Detection Based on EEG Identification Combined with Vehicle Manipulation Features

本文以脑电识别与车辆操纵特征为切入点,通过模拟疲劳驾驶实验,将脑电识别与车辆操纵特性相结合来检测驾驶员的疲劳状态。通过对脑电信号的S变换分析,发现不同驾驶时刻其变换时频谱图存在显著差异,可用来区分驾驶过程中驾驶员的精神状态,结合车辆操纵特征参数,得到操纵特征与疲劳状态的关系,为脑电识别与操纵特征的驾驶疲劳检测的有效性提供一定的理论和实验基础。

In this paper,the EEG recognition and vehicle control characteristics as the breakthrough point,through the simulation of fatigue driving experiments,the EEG recognition and vehicle control characteristics combined to detect the driver＇s fatigue state.The S transform of the EEG signal analysis, found that different driving moment transform spectrum there are significant differences can be used to distinguish between the mental state of the driver in the driving process, combined with vehicle handling characteristic parameters,control characteristics and fatigue,for EEG recognition effectiveness of the driver fatigue detection and handling characteristics provide theoretical and experimental basis.