A comparative study of machine learning techniques for emotion recognition using peripheral physiological signals

Abstract

Emotions in human produce physical and physiological changes. Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition Peripheral signals are non-invasive Easily measured through wearables Long-term monitoring Real-time prediction applications