基于脑电(EEG)信号的“愉快-不愉快”情绪分析

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。

Analysis of Pleasant and Unpleasant Emotion Based on EEG Signal

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.