Classification of emotions using the Convolutional Neural Network (CNN) method on Electro Encephalogram (EEG) data

Emotions are physiological processes that are triggered by conscious and/or unconscious perceptions about an object or situation and is often associated with mood, temperament, personality, disposition, and motivation. Emotional management is very important for every situation so that a person is aware of the emotions he feels. It is important to someone in determining the actions that should be taken so that emotions do not overwhelm him and make significant mood changes in the person. Therefore it is necessary the presence of emotion recognition to be able to identify and classify emotions man.

In this study, research will be conducted on the classification of emotions based on EEG signal using Convolutional Neural Network (CNN). The output of this classification system is four classes emotional response, namely hype, relax, gloom and angry. This research is expected to be useful in helping someone in determining appropriate study and break times.

Keywords: CNN, Emosi, EEG, Klasifikasi, sinyal