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