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Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model

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4 Author(s)
Natascha Esau ; C-LAB, University of Paderborn, Fuerstenallee 11, D-33102 Paderborn, Germany. phone: +49 5251 60-6136; email: nesau@c-lab.de ; Evgenija Wetzel ; Lisa Kleinjohann ; Bernd Kleinjohann

This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-time a tracking mechanism is used for face localization. The fuzzy classification itself analyzes the deformation of a face separately in each image. In contrast to most existing approaches, also blended emotions with varying intensities as proposed by psychologists can be handled. For this purpose we propose a fuzzy emotion model which is generally applicable for also for other emotion recognition solutions. Furthermore, VISBER supports the automatic adaptation to the characteristics of individual human faces by a short training phase that can be done before the emotion recognition starts.

Published in:

2007 IEEE International Fuzzy Systems Conference

Date of Conference:

23-26 July 2007