东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2012, Vol. 33 ›› Issue (8): 1088-1092.DOI: -

• 论著 • 上一篇    下一篇

基于EEG小波包子带能量比的疲劳驾驶检测方法

叶柠;孙宇舸;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N110304002)

A fatigue driving detection method based on wavelet packet sub-band energy ratio of EEG

Ye, Ning (1); Sun, Yu-Ge (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Ye, N.
  • About author:-
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摘要： 驾驶员在从正常驾驶状态向疲劳驾驶状态变化的过程中,其脑电信号中的慢波逐渐增加,快波逐渐减少;针对这一特点,提出了一种基于小波包子带能量比的疲劳驾驶状态检测方法.采集和分析受试者模拟驾驶过程中的脑电信号,利用小波包分解系数计算出β波与慢波的能量比,将其作为疲劳指标F值.实验结果表明,尽管不同受试者的F值存在较大差异,但是对于同一受试者而言,F值随着驾驶时间的延长和疲劳程度的增加而逐渐降低,其相对于正常驾驶状态的衰减程度能够有效反映驾驶人的疲劳程度.

关键词: 疲劳驾驶, 脑电信号, 小波包子带, 子带能量

Abstract: As a driver's state varies from normal driving to fatigue driving, the slowly changing and the rapidly changing waves, which are in his/her EEG(electroencephalogram), increase and decrease gradually, respectively. So, it is possible to detect fatigue driving based on the energy ratio of wavelet packet sub-bands. The EEGs of some subjects were acquired and analyzed during their simulating driving. The energy ratio of β waves to slowly changing waves was computed from the decomposition coefficients of wavelet packets and it was defined as a fatigue index F. Experimental result shows that F value is dependent on subjects, and there are big difference among the subjects' F values. But for any subject, his/her F value decreases slowly with the increase of driving time and fatigue level. The attenuation level of F value compared with that of normal state can reflect the driver's fatigue level.

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