Description

Emotion is the most important component in daily interaction between people. Nowadays, it is important to make the computers understand user’s emotion who interacts with it in human-computer interaction (HCI) systems. Electroencephalogram (EEG) signals are the main source of emotion in our body. Recently, emotion recognition based on EEG signals have attracted many researchers and many methods were reported. Different types of features were extracted from EEG signals then different types of classifiers were applied to these features. In this system, we can implement the different classification algorithm such as Random forest and Convolutional Neural Network (CNN) for recognize the different emotions effectively. Then, finally experimental results shows that some performance metrics such as accuracy, precision, recall and f1 score.