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首页> 外文期刊>Intelligent Transport Systems, IET >Controlled inducement and measurement of drowsiness in a driving simulator
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Controlled inducement and measurement of drowsiness in a driving simulator

机译：驾驶模拟器中睡意的受控诱导和测量

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The authors present a study of driver drowsiness, looking for patterns in biomedical and biomechanical variables that allow one to characterise the drowsiness cycle and detect its phases with new technologies. Biomedical signals, eye closure, pressures on the seat, and longitudinal and lateral control of the vehicle were recorded in a driving simulator, during a test in an environment that induced drowsiness, while subjects were motivated to struggle against sleep. Twenty volunteers were measured during the 1 h 45 min tests. A control signal that combined EEG and percent of eye closure (PERCLOS) was defined to classify the different states of the participants during the test. According to that standard, drowsiness was successfully induced in 80% of the subjects. The changes in those states influenced both the performance of the driving task and the biomedical signals, although the former were less sensitive to early fatigue. Heart rate variability and respiration turned out to be promising indicators of the state of the driver, which can be used in future drowsiness detection systems.
机译：作者对驾驶员的睡意进行了一项研究，寻找生物医学和生物力学变量中的模式，这些模式可以表征睡意周期并使用新技术检测其阶段。在引起困倦的环境中进行测试的同时，受试者被激励与睡眠作斗争，在驾驶模拟器中记录了生物医学信号，眼睛闭合，座椅上的压力以及车辆的纵向和横向控制。在1小时45分钟的测试中，对20名志愿者进行了测量。定义了结合脑电图和闭眼百分比（PERCLOS）的控制信号，以对测试过程中参与者的不同状态进行分类。根据该标准，在80％的受试者中成功地引起了睡意。这些状态的变化影响了驾驶任务的执行和生物医学信号，尽管前者对早期疲劳较不敏感。心率变异性和呼吸被证明是驾驶员状态的有希望的指标，可以在以后的睡意检测系统中使用。

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