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- W2123569028 abstract "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." @default.
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- W2123569028 date "2007-06-01" @default.
- W2123569028 modified "2023-10-16" @default.
- W2123569028 title "Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model" @default.
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- W2123569028 doi "https://doi.org/10.1109/fuzzy.2007.4295451" @default.
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