Research on Different Emotional Characteristics of Driver

Abstract

Abstract. With the increasing complexity of the traffic system, the study of driver emotion has become a hot topic. Traffic psychology mentioned that both the driver's character and the emotional changes in the driving process will affect the driver's driving behavior. Through real-time tracking of human physiological signal changes to identify the driver's emotions and analyze their driving intention, and then study the driving behavior. This paper analyzes the ECG, skin signal, EMG, heart rate and other physiological signals and pedal force of drivers under different emotions. The Bayesian network model is used to effectively identify the emotional characteristics of the driver in the process of driving. This research is of great significance to intelligent vehicle development and traffic safety management and intelligent city construction.