Vintila Florentin, Kübler Thomas C, Kasneci Enkelejda
University of Tübingen, Germany.
J Eye Mov Res. 2017 Nov 6;10(4). doi: 10.16910/jemr.10.4.3.
We investigate the pupil response to hazard perception during driving simulation. Complementary to gaze movement and physiological stress indicators, pupil size changes can provide valuable information on traffic hazard perception with a relatively low temporal delay. We tackle the challenge of identifying those pupil dilation events associated with hazardous events from a noisy signal by a combination of wavelet transformation and machine learning. Therefore, we use features of the wavelet components as training data of a support vector machine. We further demonstrate how to utilize the method for the analysis of actual hazard perception and how it may differ from the behavioral driving response.
我们研究了驾驶模拟过程中瞳孔对危险感知的反应。与注视运动和生理压力指标相辅相成，瞳孔大小变化能够以相对较低的时间延迟提供有关交通危险感知的宝贵信息。我们通过小波变换和机器学习相结合的方法，应对从噪声信号中识别与危险事件相关的瞳孔扩张事件这一挑战。因此，我们将小波分量的特征用作支持向量机的训练数据。我们进一步展示了如何利用该方法分析实际的危险感知以及它与行为驾驶反应可能存在的差异。
