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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Rigas, G., Katsis, C. D., Ganiatsas, G., & Fotiadis, D. I. (2007). A user independent, biosignal based, emotion recognition method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4511 LNCS, pp. 314–318). Springer Verlag. https://doi.org/10.1007/978-3-540-73078-1_36
Mendeley helps you to discover research relevant for your work.