计算机与现代化 ›› 2012, Vol. 203 ›› Issue (7): 88-91,9.doi: 10.3969/j.issn.1006-2475.2012.07.024

• 图像处理 • 上一篇    下一篇

基于脑电(EEG)信号的“愉快不愉快”情绪分析

王亚卿,曹艳珺,樊浩宇,郭明磊,宋秋霞   

  1. 上海海事大学信息工程学院, 上海201306
  • 收稿日期:2012-03-19 修回日期:1900-01-01 出版日期:2012-08-10 发布日期:2012-08-10

Analysis of Pleasant and Unpleasant Emotion Based on EEG Signal

WANG Ya-qing, CAO Yan-jun, FAN Hao-yu, GUO Ming-lei, SONG Qiu-xia

  

  1. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
  • Received:2012-03-19 Revised:1900-01-01 Online:2012-08-10 Published:2012-08-10

摘要: 脑电是目前研究脑科学的重要方法之一。情绪变化可以导致脑电信号的差异,本文运用小波分析以及EEGLAB工具箱对“愉快不愉快”这两种情绪状态下的脑电(EEG)信号进行差异化分析,然后定量地找出不同情绪状态下的信号差别,最终实现人体情绪的可视化。该研究的方法和分析结果为研究老师、学生、海员等工作或学习压力比较大的职业群体的情绪变化提供了较好的参考价值。

关键词: 脑电信号, 情绪, 小波分析, 心理健康

Abstract: EEG is currently one of the most important methods to study brain signal. The mood changes also will cause brain electrical signal differences, this paper uses wavelet analysis and EEGLAB toolbox (mostly Independent Component Analysis) to analyse pleasant and unpleasant these two kinds of mood state of EEG signal, then finds qualitatively the differences in these two kinds of signals, thereby realizing visualization of human emotions. The analysis has greater value for teachers, students and seamen whose emotions are more likely to be influenced because of heavy stress.

Key words: EEG, emotion, wavelet analysis, mental health

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