Emotion Detection Using Galvanic Skin Response Meter

Abstract

Emotion recognition is an important part of the affective computing research field. Physiological signals could reflect the true feelings of people more objectively, because they couldn’t be controlled subjectively. The Galvanic Skin Response (GSR) signal, has been applied to many areas of research and people’s real life. It changes with the change of the body’s sympathetic nervous system, depending on the body’s secreted response of sweat glands. Secretion of sweat is affected by the body’s emotional arousal, the temperature, and activities of finger, etc. The aim of our project is to implement a basic circuit that can generate data through Electrodermal Conductance ( Galvanic Skin Response) for detecting five emotions: Angry, Sad, Happy ( Excited ), Fear, Neutral. Our method is to extract features from physiological signal’s morphological changes according to the fitting parameters, and it provides a new idea for the emotion recognition based on physiological signals.