Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model Export

@inproceedings{citeulike:2861347, 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.}, author = {Esau, N. and Wetzel, E. and Kleinjohann, L. and Kleinjohann, B.}, booktitle = {Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International}, citeulike-article-id = {2861347}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/FUZZY.2007.4295451}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4295451}, doi = {10.1109/FUZZY.2007.4295451}, journal = {Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International}, keywords = {affective, emotion\_recognition, emotions, facial, fuzzy\_emotion\_model, fuzzy\_logic}, pages = {1--6}, posted-at = {2008-06-04 16:00:23}, priority = {4}, title = {Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model}, url = {http://dx.doi.org/10.1109/FUZZY.2007.4295451}, year = {2007} }

TY - CONF ID - citeulike:2861347 L3 - citeulike-article-id:2861347 N2 - 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. JF - Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International EP - 6 TI - Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model T2 - Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International SP - 1 KW - affective KW - emotion_recognition KW - emotions KW - facial KW - fuzzy_emotion_model KW - fuzzy_logic AU - Esau, N AU - Wetzel, E AU - Kleinjohann, L AU - Kleinjohann, B PY - 2007/// UR - http://dx.doi.org/10.1109/FUZZY.2007.4295451 ER -