CAJ | 학술논문

以驾驶模拟舱为实验平台，采用逐步回归分析建立驾驶绩效与驾驶员生理指标之间的关系模型，并分析不同指标间的相关性。结果发现驾驶绩效与脑电低频段有显著关系，考虑到在实车上脑电信号采集的困难，采用Person相关系数计算发现脑电信号与心率相关关系显著，因此可以选择心率作为脑电信号的替代指标来评价驾驶绩效。本次研究结论为开发驾驶员检测系统来预测和评价驾驶绩效提供了思路和依据。
이가사모의창위실험평태，채용축보회귀분석건립가사적효여가사원생리지표지간적관계모형，병분석불동지표간적상관성。결과발현가사적효여뇌전저빈단유현저관계，고필도재실차상뇌전신호채집적곤난，채용Person상관계수계산발현뇌전신호여심솔상관관계현저，인차가이선택심솔작위뇌전신호적체대지표래평개가사적효。본차연구결론위개발가사원검측계통래예측화평개가사적효제공료사로화의거。
This article used the driving simulator to study correlation between physiological recordings and driving performance, established the model of driving performance and driver physiology, and analyzed the Pearson correlations between each two indications. The result is that these indications are changed significantly with driving duration; the driving performance is correlated with the low-frequency EEG significantly in the stepwise regression analysis; the correlation of EEG and HR is significant in the Person correlation model. It is implication that EEG can be replaced by other indicators, and the driver detection system can be developed to predict and evaluate driving performance.