Research On Automobile Driving Fatigue Based On ECG Signa And EMG Signal

In recent years,the fatigue caused by road traffic injuries increased year by year,has become a serious social problem,cause the attention of the scholars around the world,and related research topics about fatigue driving,involves the subject psychology,human physiology,biochemistry and biomechanics,and the accurate judgment of the fatigue driving is the basis of all studies.At present,the evaluation method of driving fatigue is mainly measured from the driving characteristics of the vehicle or from the characteristics of the driver's behavior or from the perspective of a single physiological signal.This article from the perspective of ergonomics,the definition,generation mechanism of driving fatigue,fatigue,and at the same time in order to overcome the above defect evaluation method,considering multiple physiological signal characteristic parameters,based on learning vector quantization neural network driver's fatigue evaluation model.The main research content of this article is: first,analyzed the research status about driving fatigue at home and abroad,put forward the heart electricity,electrical physiological signal characteristic parameters to represent the driving fatigue level,and of the two kinds of physiological signal is described in detail;Secondly,it designs and develops the vehicle driving simulation experiment platform to provide equipment guarantee for the simulated driving test.Then,the detailed planning and design of the experimental scheme was carried out,and the data of the cardio and electromyographic signals in the simulated driving experiment were collected to provide data support for the algorithm implementation.Finally,the driving fatigue evaluation is defined as a pattern classification problem,compare the advantages and disadvantages of various models,using learning vector quantization neural network based ecg,emg physiological signal characteristic parameters and mapping model of driving fatigue degree,and to illustrate the effectiveness of the model,and using the method of K-a fold on the system optimization.Method can be used in this article,based on the physiological characteristics of signal fatigue testing equipment to provide certain reference for fatigue prediction and alarm,so as to reduce the number of traffic accidents and improve the level of road traffic safety.