Real-Time Emotion Assessment Method Based on Physiological Signals

A real-time emotion assessment method based on physiological signals was proposed. Firstly, electrocardiography, skin temperature and galvanic skin response were selected as physiological signals. Physiological indicators were considered model inputs, to guarantee the method real-time assessment, simplified support vector machines (SVM) was used to infer affective states. The experimental results show that proposed method was useful. A number of following studies and usage in applications will show to which extent this new approach can serve the variety of requirements of emotion-related activities.