International Journal of Scientific and Research Publications, Volume 10, Issue 5, May 2020 394 ISSN 2250-3153 This publication is licensed under Creative Commons Attribution CC BY. http://dx.doi.org/10.29322/IJSRP.10.05.2020.p10146 www.ijsrp.org Human Emotion Recognition using GSR and EEG Trisha Paul*, Chaitali Bhattacharyya*, Payosmi Sen*, Riya Prasad*, Suraj Shaw* *B. Tech Student, Electronics and Instrumentation Engg. Narula Institute of Technology Susmita Das** **Assistant Professor, Electronics and Instrumentation Engg. Narula Institute of Technology DOI: 10.29322/IJSRP.10.05.2020.p10146 http://dx.doi.org/10.29322/IJSRP.10.05.2020.p10146 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. Index Terms: Emotion, GSR, EEG, BPM, Temperature. I. INTRODUCTION GSR stands for Galvanic Skin Response. It is a way of measuring the electrical conductivity of the skin. Strong emotions such as anxiety, fear, stress and cheerfulness can create a stimulus in the human nervous system, resulting in more sweat being sent to the skin surface. Electro dermal activity (EDA) is a property of the human body that causes continuous variations in the electrical processes of the skin after exposure. The activity of the sweat glands is caused by the postganglionic sudomotor fibers. [1]. The most common measure of a GSR signal is not resistance, but conductance. Conductance is the electrical opposite phenomena of resistance and is measured in Siemens unit (  =1 /). The conductance makes the signal interpretation easier, since the greater the sweat gland activity, the higher the skin conductance. The most common method to measure a GSR signal for emotional research purposes is based on a constant voltage system (exosomatic method). The GSR sensor applies a constant voltage usually 0.5 V to the two electrodes placed in contact with the skin. To analyse the emotional state the BPM (Beats Per Minute) parameter variations in the subject’s body must be observed. Experts say that an adult human being has 60-100 beats per minute and 60-85 beats is a standard BPM range for a normal human body. In stressed condition, the BPM rate increases to around 38 beats more. BPM measurement is quite helpful to analyse stressed condition or emotional state. Temperature is another important parameter because in stressed condition the secretion of Adrenaline hormone creates some changes in human body to face the condition with the change in body temperature. B.P. i.e. Blood Pressure changes when the body temperature is increased as a result of Adrenaline secretion, then blood flow is increased specially in the capillaries under the skin to produce sweat quickly to release body heat. A normal human being has standard systolic pressure in between 90-120 mmHg and standard diastolic pressure in between 60-80mmHg.When a human is in stress or scared or in any other emotional state then there changes occur in the blood pressure. EEG (Electroencephalogram) is a method in which human brain electrical activity in any emotional state can be recorded and monitored. EEG signals are mainly non-stationery and time varying in nature. EEG consists of waves such as Delta wave (0.1-4 Hz), Alpha wave (4-8 Hz), Theta wave (8-13Hz), Beta (13-30Hz), Gamma (30-40Hz). These brain waves are usually sinusoidal in nature and are measured from peak to peak which is normally ranged from 0.5 to 100μV. Mainly Alpha wave is responsible for stress due to tension and excitement [2]. Emotion can be intentionally controlled where EEG or biometric signal is used for better result. EEG and GSR change in a specific way when human face certain situations [3]. In response to the Automatic Nervous System (ANS), the physiological signals