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Emotion Classification using Physiological Signals: A Recent Survey

The diverse forms of emotions practiced by human beings such as happiness, sadness, anger, fear point to the state of mental, and social welfare of an individual. The sentiments can be noticed through imaging techniques, voice signals, and biosignals. Facial signs may not give a strong sign of the state of emotions since a person can fleece the emotions. The voice signals direct untrue emotions owing to the differences in the tone of the people. The biosignals like ECG, EEG, galvanic skin resistance(GSR), skin temperature, respiration rate are initiated from the autonomic nervous system. Hence the emotions sensed using the biosignals cannot be misread. We have conducted a recent survey on classifying the emotions detected using ECG & GSR signals, focusing on the various feature selection & classification methods.