A User Independent, Biosignal Based, Emotion Recognition Method

A physiological signal based emotion recognition method, for the assessment of three emotional classes: happiness, disgust and fear, is presented. Our approach consists of four steps: (i) biosignal acquisition, (ii) biosignal preprocessing and feature extraction, (iii) feature selection and (iv) classification. The input signals are facial electromyograms, the electrocardiogram, the respiration and the electrodermal skin response. We have constructed a dataset which consists of 9 healthy subjects. Moreover we present preliminary results which indicate on average, accuracy rates of 0.48, 0.68 and 0.69 for recognition of happiness, disgust and fear emotions, respectively. Key words: emotion recognition, biosignals, classification.

• Type: Conference
• Year: 2007
• Where: UM
• Authors: Georgios Rigas, C. D. Katsis, George Ganiatsas, Dimitrios I. Fotiadis
• Keywords: Electrodermal Skin Response, Emotion Recognition, Emotion Recognition Method, UM 2007