基于生理信号的驾驶疲劳综合指标试验研究

发布时间：2018-05-30 02:44

本文选题：安全工程 + 驾驶疲劳　；参考：《安全与环境学报》2015年03期

【摘要】：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。
[Abstract]:The changes of drivers' physiological signals in the process of driving were studied, and the comprehensive indexes reflecting the degree of driving fatigue were extracted. A driving simulator was used to simulate the driving of 20 subjects. The electrocardiogram (ECG), electroencephalogram (EEG) and muscle resistive signals of the driver during the 60 min driving task were collected and recorded by MP150 multichannel physiological instrument. Skin temperature signal and respiratory frequency signal. Using R software to carry on the linear regression analysis to the data, comparing with the general regression analysis, the stepwise linear regression analysis overcomes the shortcoming that many variables of the general regression analysis are not significant, and obtains the optimal driving comprehensive index equation. The comprehensive index of driving fatigue evaluation related to each index was determined, and the validity of the comprehensive index as the evaluation of driving fatigue was verified by the simulated driving test of 3 subjects.
【作者单位】：河南理工大学安全科学与工程学院;
【分类号】：U491.25

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