| In order to acquire traffic information and alleviate pressure of the driver, many people listen to Audio Entertainment when driving. Which can’t only relax yourself, pleasure mood, but can acquire important news and information. However, if it is used unreasonably, which can affect our attention and cognitive ability to generate certain negative effects. What kind of Audio Entertainment for the driver has a positive role? What kind of Audio Entertainment is unsafe for drivers? The problem is important for safe driving. Therefore, this article studies how different Audio Entertainments influence on driver’s physiological indexes based on the physiological data of many drivers when playing Audio Entertainment during driving. The study contents are summarized as follows.1) Audio Entertainment classification based on Hidden Markov Models(HMM). The MFCC of Audio Entertainment are extracted in the chapter, through calling improved function to pre-processing for example pre-emphasis, sub-frame process, add window, etc,and FFT, calculating the energy spectrum Mel filter bank and DCT cepstrum, etc; MFCC’s three-dimensional map is drawn and distance is calculated.By which, the mismatch between the different types of Audio Entertainment can be seen visually;The minimal distortion principle is used in MFCC vector quantization to reduce vector dimension; Training DHMM model based on MFCC, testing and verify model, analyzing the results and evaluating the pros and cons of the model.2) Drivers’ physiological indexes optimization. Through the analysis to mechanism how Audio Entertainment influence on driver’s physiological indexes, EEG and ECG parameters were optimized. Three kinds of EEG,α wave, β wave, θ wave were optimized as quantitative indexes of how Audio Entertainment influence on drivers’ EEG. The heart rate and the mean R-R interval are optimized as two quantitative indexes of how Audio Entertainment influence on ECG of drivers.3) The analysis to the effect of Audio Entertainment on drivers physiological indexes. The physiological data of many drivers’ listening to different Audio Entertainment is obtained by a large number of trials.The processing of data is divided into two parts. The first part is to deal with the EEG data. By the FFT, the time domain signal will be transformed into the frequency domain signal, then alpha wave, beta wave, theta wave, according to the frequency range, is separated. Then through the inverse Fourier transform, alpha wave, beta wave, theta wave will be transformed into the time domain signal and then obtain power spectral density of them. Finally, power spectral density of the integral of EEG of different frequency ranges will be obtain by the ideology of the differentiation. The law is found, that alpha wave of drivers will rise, beta and theta will decline in different degrees when the driver plays soft music and Soothing music. alpha wave of drivers will decline, beta and theta wave will rise in different degrees when the driver plays DJ music. The second part is to deal with the ECG data. It can be concluded by mining ECG data that driver’s heart rate rises, fluctuation increase when drivers play DJ music, the driver’s heart rate decrease when drivers play soft music and soothing music. Different drivers’ R-R interval under Audio Entertainment are different. Compare to playing no Audio Entertainment, drivers’ SDNN is bigger when playing music. That music can increase heart rate variability and the vagus nerve excitability. Finally, qualitative analysis has been carried on how the different Audio Entertainment influence on drivers’ fatigue.In the paper, study on the effect of different Audio Entertainment on drivers’ physiological indexes which also provides a theoretical basis for the next step to study drivers’ fatigue and mental load that Audio Entertainment affect, which also provides the basis for designing the type of car Audio Entertainment from the perspective of safety... |