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研究驾驶过程中随着疲劳的产生驾驶员生理信号的变化规律,提取反映驾驶疲劳程度的综合指标。采用驾驶模拟器对20名被试进行驾驶模拟试验,用MP150多导生理仪实时采集并记录驾驶员在60 min驾驶任务过程中的心电信号、脑电信号、肌肉电阻信号、皮肤温度信号和呼吸频率信号。运用R软件对数据进行线性回归分析,对比一般回归分析,逐步线性回归分析克服了一般回归分析许多变量不显著的缺点,得到了最优的驾驶综合指标方程,确定了与各项指标相关的驾驶疲劳评价综合指标,并通过3名被试模拟驾驶试验验证了综合指标作为评价驾驶疲劳的有效性。
The change rule of driver's physiological signal with fatigue is studied during driving, and the comprehensive index reflecting the degree of driving fatigue is extracted. Driving simulator was used to test the driving test of 20 subjects. The MP150 multi-guided physiology instrument was used to collect and record the ECG signal, EEG signal, muscle resistance signal, skin temperature signal Breathing frequency signal. Using R software to linear regression analysis of data, compared with general regression analysis, stepwise linear regression analysis overcomes the shortcoming that many variables of general regression analysis are insignificant, obtains the optimal driving comprehensive index equation, determines the driving related to each index Fatigue comprehensive evaluation index, and through three subjects simulated driving test to verify the comprehensive index as a driver to evaluate the effectiveness of driving fatigue.