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Some Methods Systems and Sensors which are Possible for Driver's Drowsiness Estimation

机译:驾驶员困倦估计的一些方法系统和传感器

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摘要

Recent studies show that driver drowsiness (fatigue) and inattention are major causes of fatal road accidents. A large number of these accidents could be avoided if the vehicles were equipped with sensors that reliably could monitor the attention and alertness cues of the drivers, and systems that, based on the sensor input, could warn the drivers in time. Driver fatigue and attention monitoring has been intensively researched in recent years and many approaches have been proposed, which include biological signal (EEG, ECG etc.) processing method, subjective report method, and behaviour analysis method. This paper gives some examples of the monitoring sensors which could be used (after some corrections) for the purpose of fatigue detection and also for fireman and military purposes. Presented sensors and systems were constructed and tested in laboratory and are in development so fare.
机译:最近的研究表明,驾驶员的困倦(疲劳)和注意力不集中是致命交通事故的主要原因。如果车辆配备的传感器能​​够可靠地监视驾驶员的注意力和警觉性提示,并且基于传感器输入的系统能够及时警告驾驶员,则可以避免大量此类事故。近年来,对驾驶员疲劳和注意力监控进行了深入研究,并提出了许多方法,包括生物信号(EEG,ECG等)处理方法,主观报告方法和行为分析方法。本文提供了一些监视传感器的示例,这些监视传感器可以(经过一些校正)用于疲劳检测以及消防员和军事目的。提出的传感器和系统是在实验室中构建和测试的,目前仍在开发中。

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