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An EEG Predictor of Driving Fatigue

机译：脑电图预测驾驶疲劳

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摘要

Driving fatigue is one of the main causes of traffic accidents. Many researchersrnbelieve that electroencephalography (EEG) is an accurate and promising method torndetect driving fatigue. Based on the theories of biocybernetics, this article developedrnan EEG-based driving fatigue prediction indicator, and the process of calculating itrnwas detailed. After indoor-experimental verification, it was found that the indicatorrnhas a good linear correlation with spirit response speed. The results have implicationsrnfor predicting driving fatigue and are helpful for future development of drivingrnfatigue countermeasures.
机译：驾驶疲劳是交通事故的主要原因之一。许多研究人员认为，脑电图（EEG）是检测驾驶疲劳的一种准确而有希望的方法。基于生物神经力学的理论，本文开发了基于脑电图的驾驶疲劳预测指标，并对其计算过程进行了详细介绍。经过室内实验验证，发现该指标与烈性反应速度具有良好的线性相关性。研究结果对预测驾驶疲劳具有重要的意义，有助于未来驾驶疲劳对策的发展。

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  • 来源
  • 会议地点 Harbin(CN);Harbin(CN)
  • 作者

    Xie Xiaoli; Liu Xiaoming; Hu Jiangbi; Cao Xintao; Wang Weili;

  • 作者单位

    Transportation Research Center, Beijing University of Technology, No. 100 Ping LernYuan, Beijing, 100022 email: xxl@emails.bjut.edu.cn;

    Transportation Research Center, Beijing University of Technology, No. 100 Ping LernYuan, Beijing, 100022;

    Transportation Research Center, Beijing University of Technology, No. 100 Ping LernYuan, Beijing, 100022;

    Transportation Research Center, Beijing University of Technology, No. 100 Ping LernYuan, Beijing, 100022;

    Transportation Research Center, Beijing University of Technology, No. 100 Ping LernYuan, Beijing, 100022;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 交通工程与交通管理;
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