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Drowsiness prediction system for vehicle using capacity coupled electrode type non-invasive ECG measurement

机译:使用容量耦合电极型无创心电图测量的车辆睡意预测系统

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It is known that most traffic accidents are due to human error, such as inattentive driving and drowsiness. This research develops a method for predicting driver's drowsiness. In order to measure the heart rate of driver non-invasively, we used capacity coupled electrodes and proposed a method to predicting drowsiness based on variations in the heart rate. This paper describes a structure and a principle of the system and experiments. The experiment conducted by using a driving simulator. The proposed system achieves detecting drowsiness of driver before a critical situation occurs.
机译:众所周知,大多数交通事故是由于人为错误,例如无所不在的驾驶和嗜睡。该研究开发了一种预测驾驶员嗜睡的方法。为了使驾驶员的心率无侵入地测量驾驶员的心率,我们使用容量耦合电极并提出了一种基于心率变化来预测嗜睡的方法。本文介绍了系统和实验的结构和原理。通过使用驾驶模拟器进行的实验。在发生危急情况之前,所提出的系统达到了驾驶员的嗜睡。

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