Effects of sitting posture on driver's heart rate variability features during automated driving
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.
autonomous drivingdriving postureheart rate variabilitydriving fatiguedriver monitoring system
万方数据
维普
