基于生理信号的驾驶疲劳分级检测研究

Study of Driver's Fatigue Level Grading Experiment Based on His Physiological Signal

采用实验生理学测试与主观疲劳调查的方法,通过实车驾驶实验,以脑电信号和心电信号为基本指标,研究不同驾驶经验驾驶员在09:00—12:00,12:00—14:00,21:00—23:00这3个驾驶过程中疲劳等级的变化。通过主成分分析法,建立脑电信号与心电信号之间的关系,确定驾驶疲劳综合评价指标。结果显示:上述疲劳综合指标在在不同疲劳等级状态下存在显著性差异,通过对不同指标的融合提高了对驾驶员不同疲劳等级的识别准确率。

With the help of Electroencephalogram （EEG） and Electrocardiogram （ECG）, a real traffic driving experiment which combining physiology test and subjective fatigue survey was conducted to study the law of fatigue level variation of a diver who was driving during 09：00--12：00AM, 12：00--14 ： 00PM and 21 ： 00--23 ： 00PM. By the principal component a- nalysis （PCA） , this study was able to establish the relationship between EEG and ECG signal, and to set up a comprehen- sive indicator to determine driver fatigue. The results show that the above-mentioned comprehensive indicator can recognize different levels of driver fatigue and the fusion of different indicators thas can improve the accuracy in detecting driver＇s dif- ferent fatigue levels.