A User Independent, Biosignal Based, Emotion Recognition Method

Authors:
G. Rigas;C. D. Katsis;G. Ganiatsas;D. I. Fotiadis
Affiliations:
Unit of Medical Technology and Intelligent Information Systems, Dept. of, Computer Science, University of Ioannina, GR 451 10 Ioannina, Greece;Unit of Medical Technology and Intelligent Information Systems, Dept. of, Computer Science, University of Ioannina, GR 451 10 Ioannina, Greece and Dept. of Medical Physics, Medical School, Univers ...;Unit of Medical Technology and Intelligent Information Systems, Dept. of, Computer Science, University of Ioannina, GR 451 10 Ioannina, Greece;Unit of Medical Technology and Intelligent Information Systems, Dept. of, Computer Science, University of Ioannina, GR 451 10 Ioannina, Greece
Venue:
UM '07 Proceedings of the 11th international conference on User Modeling
Year:
2007

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Abstract

A physiological signal based emotion recognition method, for the assessment of three emotional classes: happiness, disgustand 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.