驾驶疲劳脑电图变异系数测量 指标的有效性研究

Research on Validity of EEG Coefficient of Variation as Driving Fatigue Measure

  • 摘要: 为有效测量驾驶疲劳,提出能够反映驾驶员唤醒水平和波动幅度的脑电图变异系数测量指标. 介绍该指标的推导过程,并通过驾驶模拟实验验证其有效性. 实验以制动反应时和主观自评指标为独立指标,分别研究其随驾驶时间的变化规律及其与脑电图测量指标之间的相关性. 研究结果表明脑电图变异系数测量指标θCVβCV具有较高的可靠性;在驾驶疲劳发生时,存在驾驶员主动抵抗驾驶疲劳的阶段.

     

    Abstract: In order to measure driving fatigue effectively, electroencephalogram (EEG) coefficient of variation indicators are proposed, which reflect drivers arousal levels and fluctuations. The derivation of the indicators was introduced first, and then the validity of the indicators was studied through driving simulation experiment. Reaction times of breaking and subjective self-assessed indicators were taken as independent indicators. The changes of the independent indicators over time and the correlation coefficients between the EEG indicators and break reaction time were analyzed. The results show that the EEG coefficient of variation indicators θCV and βCV are reliable, and there is a driver resistance stage when driving fatigue occurs.

     

/

返回文章
返回
Baidu
map