Development And Experimental Research Of Music Intervention Fatigue Driving Test Platform

Traffic accidents have become one of the serious social problems facing the world.The statistics of traffic accidents in many countries show that fatigue driving is one of the main causes of traffic accidents.Therefore,there is an urgent need for fatigue driving detection and effective early warning methods and technologies to carry out relevant research.This project was based on Jiangsu graduate innovation program"active safety promotion system based on real vehicle virtual driving" and Yangzhou University self-made test equipment project "Research on intelligent seat and active safety system of passenger car based on oc-cupant attitude recognition".The test platform of music intervention fatigue driving was built.The experimental method was defined,and the influence of different music character-istics on EEG index of fatigue driving was studied by orthogonal test analysis method.The optimal music intervention scheme was proposed to explore the best intervention music characteristics.The main work of this paper was summarized as follows:(1)Based on the review of driving safety research at home and abroad,this paper dis-cusses the bottleneck problems in the research of fatigue driving identification and interven-tion,and analyzes the key technologies of fatigue driving identification and music interven-tion methods.This paper analyzes the formation process of fatigue in driving,expounds the rationality of EEG in judging driver fatigue,and puts forward the research method of music intervention in fatigue driving;The data analysis methods related to this topic are discussed in detail,which provides a theoretical basis for this study.(2)Design and build a music intervention fatigue driving test platform including driv-ing simulation system,fatigue detection and identification system and music intervention system.The driving simulation module uses the control signals of steering wheel and pedal to realize the driving experience with high degree of restoration;The fatigue detection and recognition system judges the fatigue state of the subjects through facial feature recognition,steering wheel rotation frequency,EEG,ECG,EMG and other physiological signals;Music intervention is based on the fatigue signal input by the fatigue detection and identification system,outputs the corresponding intervention signal,plays the selected music,and realizes the fatigue intervention.(3)This paper introduces the experimental design of the effects of different types of ve-hicle audio features(rhythm,tone,loudness)on the EEG signals of the subjects,including the experimental object,experimental environment,experimental equipment,selection of music feature parameters and test music,and fatigue state detection;The test method is de-fined,and the test steps,data acquisition process and pretreatment method are introduced in detail.(4)The results show that different types of music have significant inhibitory effect on fatigue;By processing the results of orthogonal experiment of EEG indexes of subjects after music intervention,it is found that the sixth music intervention scheme has the best effect on fatigue intervention of subjects;Combined with the range analysis method,the range analy-sis of the orthogonal test results of different levels of various factors at 40 minutes shows that the tone of music features has the most obvious intervention effect on driving fatigue.