Human Emotion Recognition using Bio Signals

Emotion is any strong feeling which is caused by experiencing love, hate, fear, etc., and followed by certain physiological changes, such as increase in heartbeat, respiration, temperature, skin conductance and muscular tension in the body. Emotions can be recognized using facial expressions, speech, body gesture and physiological signals. In this, we considered the heartbeat and body temperature of a person which are obtained from the pulse rate sensor and DS18B20 body temperature sensor and a database is made based on the classification of the temperature and pulse values for a particular emotion. KNN machine learning algorithm is executed on the dataset which focuses on K nearest neighbors to determine the class to which an input belongs to. By applying Machine Learning we can accurately predict the emotion of the individual. So, this paper helps to detect emotion of a person and display the emotion of the person, if the person remains in a particular emotion for a longer period of time.