EEG based mental state analysis

Abstract

Abstract This work proposes a method for mental state analysis from the Electroencephalogram (EEG) signal data using Convolutional Neural Network (CNN). In recent years, deep learning techniques, particularly CNN have become a very popular topic. Emotions also play a very crucial role in our daily life. Emotions affect a person’s cognition, behaviour and decision-making. In this paper, we analyse the EEG signals and classify them into various emotions. The result would be a real-time EEG-based emotion recognition system. The DEAP dataset, which is a multimodal dataset, has been used in this study for analysis of human mental states.