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Affective computing is becoming an important research area in intelligent computing technology. Furthermore, emotion recognition is one of the hot topics in affective computing. It is usually studied based on facial and audio information with technologies such as ANN, fuzzy set, SVM, HMM, etc. Many different facial and acoustic features are considered in emotion recognition by researchers. The question...
Emotion recognition is an important module in affective computing. It is usually studied based on facial and audio information with methodologies such as ANN, fuzzy set, SVM, HMM, etc. In this paper, a novel approach based on selective ensemble is proposed for emotion recognition. Simulation experiments prove that the proposed method has better performance than the method of single classifier, even...
Cognitive informatics (CI) is a research area including some interdisciplinary topics. Visual tracking is an important research topic in computer vision and face expression recognition, in which domain-oriented facial features tracking is a very hot spot. In this paper, a robust facial feature tracking method is proposed. It takes Lucas-Kanade-Tomasi (KLT) optical flow as basis, and corrects the predictions...
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