使用瞬时心率和HRV对带有行人的驾驶员进行风险评估与观察
Risk assessment and observation of driver with pedestrian using instantaneous heart rate and HRV
AI总结：
本研究在驾驶模拟器中引入行人动态，通过时域和频域心率分析对驾驶员进行风险评估，发现频域HR分析能有效评估驾驶员遇行人时的风险。
摘要：
目前，在避撞等许多情况下，人类驾驶员的表现优于自动驾驶车辆。因此，理解这些情况下人类驾驶员的行为将为未来的自动驾驶车辆提供洞察。为了理解驾驶员行为，迄今为止采用了风险评估作为方法之一，通过主观和客观测量来进行。问卷调查等主观测量方法可能为驾驶员风险评估提供洞察，但驾驶员之间通常存在显著差异。心率（HR）、脑电图（EEG）和肌电图（EMG）等生理测量为驾驶员风险评估提供了更客观的测量。基于观察到的HR与风险感知之间的相关性，HR常被用于测量驾驶员风险评估。先前的工作已使用HR来测量自动驾驶系统中的驾驶员风险评估，但研究未考虑行人动态。在本研究中，我们在驾驶模拟器上观察了具有行人的特定场景中的驾驶员行为。这些场景包含安全/不安全情况（即，在某一场景中行人横穿马路且车辆可能撞击行人），对HR进行时域/频域分析以进行风险评估。结果表明，当驾驶员在其交通环境中遇到行人时，频域HR分析对驾驶员风险评估显示出一定的合理性。
英文摘要：
Currently, human drivers outperform self-driving vehicles in many conditions such as collision avoidance. Therefore, understanding human driver behaviour in these conditions will provide insight for future autonomous vehicles. For understanding driver behaviour, risk assessment is applied so far as one of the approaches by using both subjective and objective measurement. Subjective measurement methods such as questionnaires may provide insight into driver risk assessment but there is often significant variability between drivers.Physiological measurements such as heart rate (HR), electroencephalogram (EEG), and electromyogram (EMG) provide more objective measurements of driver risk assessment. HR is often used for measuring driver risk assessment based on observed correlations between HR and risk perception. Previous work has used HR to measure driver risk assessment in self-driving systems, but pedestrian dynamics is not considered for the research. In this study, we observed driver behaviour in certain scenarios which have pedestrian on driving simulator. The scenarios have safe/unsafe situations (i.e., pedestrian crosses road and vehicle may hit pedestrian in one scenario), HR analysis in time/frequency domain is processed for risk assessment. As a result, HR analysis in frequency domain shows certain reasonability for driver risk assessment when driver has pedestrian in its traffic.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
