Deep Learning Approach for Emotion Recognition Using EEG Signals
Abstract
The complex state of feeling known as emotion causes psychological and physical changes that have an impact on one's thoughts and actions. Emotions can be characterised as happy or negative experiences connected to a specific pattern of physiological activity from a scientific standpoint. Emotion recognition is the action of recognizing the psychological state of a person. Recognition is done using EEG signals. Electroencephalography (EEG) is used to monitor the chemical reactions that occur due to ions in the human brain which results in specific emotions. It can provide a simple, portable, ease- to-use and cheap solution for detecting the mental state of a person. Electrodes are used to assess the neuronal activity in various brain areas using EEG data. Based on the signal output we need to analyse the emotion of a person whether his reaction is negative, neutral or positive.