Classification of Emotion from Physiological Signals via Artificial Intelligence Techniques

Recently, there are various studies in the literature for emotion analysis by using physiological signals. In this study, classifying emotion by using various signal processing methods, feature extraction and various artificial intelligence methods is objected. DEAP dataset is used in the study. Calculations of Wavelet transform and some statistical properties (mean, variance, standard deviation and entropy) of EOG, EMG, GSR, Respiratory belt, Plethysmography, and Temperature physiological signals. Obtained data were done for the emotion classification.