Mental State Recognition by using Brain Waves

Mental State classification plays vital role in communication between human and computer. It can be classified by brain waves. Brain signals recording methods along scalp are invasive and non-invasive. The advanced common method is noninvasive. The 10-10 and 10-20 electrodes system standards are used in the non-invasive method. It is aimed to find Mental State of a sample by using EEG signals. In this work EEG sample are collected from the DEAP database. 30 preprocessed EEG signals from DEAP data sets are worked to get different frequency band by Welch method. Power spectral density in alpha and beta band is tabulated. The valence arousal points from the pre-processed data is obtained from the matlab files Four mental states are classified as four quadrants of graph. 30 participants are classified into four mental states namely happy, stressed, depressed and relaxed in MATLAB. As result four mental states are classified as four quadrants of graph.