siddhi5386/Emotion-Recognition-from-brain-EEG-signals-

Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.

语言：Jupyter Notebook · GitHub 星标：138 · Fork：27

在 GitHub 上查看原仓库