To investigate whether the driver's sitting posture affects his heart rate variability(HRV)features under autonomous driving conditions,L3 level autonomous driving experiments were carried out using a driving simulator,and the driver's ECG signals and sub-jective fatigue scores during the experiments were recorded.HRV features were extracted from ECG signals,and fatigue levels were grouped into 5 classes.Wilcoxon signed rank test was used for statistical analysis.The results showed that the mean RR interval MRR is significantly(p＜0.05)different between upright and reclined sitting postures at all classes of fatigue levels;frequency domain features pLF(nu),PHF(nu)and rLF/HF are significantly different between the two sitting postures at 4 classes of fatigue levels;and Poincaré plot fea-tures LSD1,LSD2 and rSD2/SD1 are significantly different between the two sitting postures at 1,0,and 3 classes of fatigue levels,respective-ly.Sitting postures affect the HRV features of drivers;frequency domain features were more susceptible to the influence of driver's sit-ting posture than Poincaré plot features.The research results provide a reference for the development of driver monitoring systems.
关键词
自动驾驶/驾驶姿势/心率变异性/驾驶疲劳/驾驶人监测系统
Key words
autonomous driving/driving posture/heart rate variability/driving fatigue/driver monitoring system
维普
万方数据