Human Emotion Recognition using GSR and EEG

Abstract

Human beings are capable of expressing thousands of emotions. The complexity, intensity and involvement with that emotion also vary with the situation. Various mood disorders can be recognized by the differentiated characteristics and features. The process of analyzing human emotional state is known as emotion recognition. In this paper the main focus is on analyzing a human's emotional states in a particular period of time. So, a dimmed tendency of different psychological states are observed over a short span of time in a wide range of age groups. The main concentration is on the four major parameters such as GSR, BPM, Body Temperature, and EEG (Electroencephalogram) for detecting the emotional states. To get an accurate result GSR (Galvanic Skin Resistance) is used depending on the principle of Electro-dermal activity (EDA) which shows various electrical signal attributes with changes in human activities (which involves sweating in time of anxiousness etc.). BPM (Beats Per Minute) which acts simultaneously to give a precise heart rate count at that particular time. EEG adds up for collecting exact brain signals of the subject using electrodes revealing the psychological state. Body temperature acts as a helping hand when measured along with, as different emotions leads to the secretion of hormones which causes a slight variation in the body temperature.