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Drowsy driving detection based on human pulse wave by photoplethysmography signal processing

机译:人体脉搏波体积描记信号处理的困倦驾驶检测。

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Drowsiness of driver while driving is one major factor of traffic accident. Therefore, there are many researches to prevent and detect drowsy driving. Recent researches have focused on motion detection using cameras to determine drowsy driving. However, we have focused on non-invasive and inexpensive drowsiness detection system. In our previous research, we suggested a system based on the driver's head movement using infrared sensors. In this paper, we suggest another non-invasive and inexpensive system based on the driver's pulse wave by photoplethysmography (PPG) signal processing. Firstly, the system collects a pulse wave from a PPG sensor on a steering wheel and then it processes the signal to analyze driver's state. In order to evaluate the effectiveness of a human pulse wave for drowsiness detection, we integrated two systems. The experimental result using new integration system showed 83 percent drowsy driving detection rate in the state of real driving.
机译:驾驶时驾驶员的困倦是交通事故的主要因素之一。因此,有许多防止和检测困倦驾驶的研究。最近的研究集中在使用相机确定困倦驾驶的运动检测上。但是,我们专注于非侵入性且廉价的嗜睡检测系统。在我们以前的研究中,我们建议使用红外传感器基于驾驶员头部运动的系统。在本文中,我们建议通过光电容积描记术(PPG)信号处理基于驾驶员脉搏波的另一种非侵入性且廉价的系统。首先,该系统从方向盘上的PPG传感器收集脉冲波,然后处理该信号以分析驾驶员的状态。为了评估睡意检测人类脉搏波的有效性,我们集成了两个系统。使用新的集成系统的实验结果表明,在实际驾驶状态下,昏睡驾驶检测率为83%。

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