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首页> 外文期刊>International Journal of Innovative Computing Information and Control >AUTOMATIC CLASSIFICATION OF DRIVING MENTAL FATIGUE WITH EEG BY WAVELET PACKET ENERGY AND KPCA-SVM
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AUTOMATIC CLASSIFICATION OF DRIVING MENTAL FATIGUE WITH EEG BY WAVELET PACKET ENERGY AND KPCA-SVM

机译：小波包能量和KPCA-SVM对脑电驱动精神疲劳的自动分类

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摘要

Driving mental fatigue is a main cause of some serious transportation accident and it has drawn increasing attention in recent years. In this study, an automatic measurement of driving mental fatigue based on the Electroencephalographic (EEG) is presented. Fifteen healthy subjects who performed continuous simulated driving task for 90 minutes with EEG monitoring are included in this study. The feature vectors of ten-channel EEG signal on prefrontal, frontal, central, parietal and occipital regions are extracted by wavelet packet transform. Kernel principal component analysis (KPCA) and support vector machines (SVM) are jointly applied to identify two driving mental fatigue states. The results show that wavelet packet energy (WPE) of EEG is strongly correlated with mental fatigue level on prefrontal frontal central and occipital regions. Moreover, the KPCA method is able to effectively reduce the dimensionality of the feature vectors, speed up the convergence in the training of SVM and achieve higher recognition accuracy (98.7%). The KPCA-SVM could be a promising candidate for developing robust automatic mental fatigue detection systems for driving safety.
机译：驾驶精神疲劳是造成严重交通事故的主要原因，近年来引起了越来越多的关注。在这项研究中，提出了一种基于脑电图（EEG）的驾驶精神疲劳的自动测量方法。这项研究包括15名健康受试者，他们在EEG监测下连续进行了90分钟的模拟驾驶任务。通过小波包变换提取前额叶，额叶，中央，顶叶和枕叶区域的十通道脑电信号的特征向量。内核主成分分析（KPCA）和支持向量机（SVM）共同应用于识别两种驾驶精神疲劳状态。结果表明，脑电信号的小波包能量（WPE）与额叶前额中央和枕骨区的精神疲劳水平密切相关。此外，KPCA方法能够有效地降低特征向量的维数，加快SVM训练的收敛速度，并达到较高的识别精度（98.7％）。 KPCA-SVM可能是开发强大的自动精神疲劳检测系统以提高行车安全性的有希望的候选者。

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  • 作者

    Chunlin Zhao; Chongxun Zheng; Min Zhao; Jianping Liu; Yaling Tu;

  • 作者单位

    Key laboratory of Biomedical Information Engineering of Education Ministry University of Xi'an Jiaotong No. 28, Xianning West Road, Xi'an 710049, P. R. China,Engineering College of Armed Police Force Wujing Road, Weiyang District, Xi'an 710086, P. R. China;

    Key laboratory of Biomedical Information Engineering of Education Ministry University of Xi'an Jiaotong No. 28, Xianning West Road, Xi'an 710049, P. R. China;

    Key laboratory of Biomedical Information Engineering of Education Ministry University of Xi'an Jiaotong No. 28, Xianning West Road, Xi'an 710049, P. R. China;

    Engineering College of Armed Police Force Wujing Road, Weiyang District, Xi'an 710086, P. R. China;

    Key laboratory of Biomedical Information Engineering of Education Ministry University of Xi'an Jiaotong No. 28, Xianning West Road, Xi'an 710049, P. R. China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    EEG; driving mental fatigue; WPE; KPCA; SVM;

    机译：脑电图;导致精神疲劳;WPE;KPCA;支持向量机;

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