Recent Survey on Emotion Recognition Using Physiological Signals

Abstract

Emotion Recognition has an important role in human-computer intercommunication, the medical field, etc. So that chance of Emotion Computing is gradually increased. Mainly six primary emotions are there anger, disgust, fear, happy, sad, and surprise. To recognize these emotions, many types of emotion recognition methods are available. But they are mainly attention to facial expressions, speech, and gestures. By using visible signs of emotions cannot acquire the actual emotions of people. To gain true emotions, Emotion Recognition using Physiological signals is becoming a crucial thing. The physiological signals mainly involve the electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), etc. This can obtain real-time emotions at any time. This paper discusses different methods used to recognize the emotion using physiological signals by machine learning techniques, data acquisition methods, and their databases. It also includes the experimental results and the accuracy of each method. By this mainly focus to build a machine without emotions can attain brilliance.