Analysis On Physiological Characteristics Of Drivers Under Stress Scene

In recent years,with the development of the world and the prosperity of China's automobile industry,automobile has spread to thousands of households to bring and the traffic safety problems,also more and more frequently appear in people's field of vision,traffic safety has become a hot issue of the country and the world,and so has become a research hotspot and key universities,research institutions and related security departments.In the closed system of driver vehicle traffic environment(stress scene),whether a driver can have a good communication and reception link with traffic environment is a key to the safe operation of vehicles to a certain extent.The driving behavior research is needed from the information perception and acquisition,information processing,information transformation related aspects,and these three aspects and depends on the physiological characteristics of a series of drivers,only in-depth understanding of driver's physiological characteristics of stress scenarios,to coherent expression of the whole process will be driving the subjective into objective quantitative driving maneuvers.Only the realization of the above results can better avoid the occurrence of traffic accidents in the stressful scene.In order to explore the physiological characteristics of drivers under stress scenes,this paper explores four aspects of driver's physiology,including vision,psychology,skin electricity and electromyography.In terms of eye movement,Tobii eye tracking system and traffic environment image acquisition device are used to collect eye movements and traffic environment data of drivers during driving,and synchronize and preprocess the collected data.In this paper,we adopt a fast and fast clustering method of gaze area division,which improves the reliability and credibility of the area division compared with the traditional gaze area division method,and increases the participation of drivers in the process of gaze area division.At the same time,different visual indicators are selected to analyze the visual characteristics of the stress scene.By way of color eye movement data representation,give an intuitive impression.In the psychological aspect,this paper analyses the two aspects of cardiac growth rate and heart rate variability in heart rate variability,using the analysis method in time domain and frequency domain are widely recognized,and the related statistical analysis form means box diagram.The psychological aspects of psychological aspects of drivers in stressful scenes are analyzed with the method of multi-layer information decision fusion.In terms of electromyography and skin power,we first collect the collected data,according to the acquisition principle and working mode of the acquisition device,we do the frequency correction,lost data repair,data smoothing filtering and abnormal data for the time synchronization data.After treatment,the Pearson test and other methods were used to test and analyze the significance of the stress scene with the driver's EMG and the skin electricity.The statistical analysis and time series are used to further analyze the correlation between the two.Finally,we completed the analysis of the driver's physiological characteristics under the stress scenes,providing theoretical support for the research of traffic safety and advanced automatic driving.