Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model

— 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.

• Type: Conference
• Year: 2007
• Where: FUZZIEEE
• Authors: Natascha Esau, Evgenija Wetzel, Lisa Kleinjohann, Bernd Kleinjohann
• Keywords: Artificial Intelligence, Emotion Recognition, FUZZIEEE 2007, Fuzzy Emotion Model, Video Based Emotion