赵晓华, 房瑞雪, 荣建, 毛科俊. 基于生理信号的驾驶疲劳综合评价方法试验研究[J]. 北京工业大学学报, 2011, 37(10): 1511-1516,1523.
    引用本文: 赵晓华, 房瑞雪, 荣建, 毛科俊. 基于生理信号的驾驶疲劳综合评价方法试验研究[J]. 北京工业大学学报, 2011, 37(10): 1511-1516,1523.
    ZHAO Xiao-hua, FANG Rui-xue, RONG Jian, MAO Ke-jun. Experiment Study on Comprehensive Evaluation Method of Driving Fatigue Based on Physiological Signals[J]. Journal of Beijing University of Technology, 2011, 37(10): 1511-1516,1523.
    Citation: ZHAO Xiao-hua, FANG Rui-xue, RONG Jian, MAO Ke-jun. Experiment Study on Comprehensive Evaluation Method of Driving Fatigue Based on Physiological Signals[J]. Journal of Beijing University of Technology, 2011, 37(10): 1511-1516,1523.

    基于生理信号的驾驶疲劳综合评价方法试验研究

    Experiment Study on Comprehensive Evaluation Method of Driving Fatigue Based on Physiological Signals

    • 摘要: 采用驾驶模拟舱对30名被试进行动态驾驶模拟试验,分析心电信号和脑电信号随驾驶时间的变化规律,验证心电信号和脑电信号作为驾驶疲劳评价指标的有效性.采用皮尔逊相关系数计算发现心电信号与脑电信号相关关系显著,并通过主成分分析法,建立脑电信号与心电信号之间的关系,确定驾驶疲劳评价的综合指标,可以排除干扰因素,减小数据的波动性,提高驾驶疲劳评价的准确性.

       

      Abstract: A dynamic Driving simulation experiment of thirty subjects is carried out using the virtual driving simulator to analyze the variation of ECG and EEG indicators with driving time,and the experiment validates the effectiveness of the ECG and EEG indicators as the evaluation of driving fatigue.There is a significant correlation between EEG and ECG according to the Pearson Correlation.Finally,the relationship is established between EEG and ECG,and the overall index of driving fatigue is defined by Principal component analysis,which can exclude disturbed factors and lower data volatility,therefore,to improve accuracy of driving fatigue evaluation.

       

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