Natascha Esau

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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(More)
Existing emotion recognition applications usually distinguish between a small number of emotions. However this set of so called basic emotions varies from one application to another depending on their according needs. In order to support such differing application needs an adaptable emotion model based on the fuzzy hypercube is presented. In addition to(More)
Due to increasing miniaturization and decreasing prizes of cameras more and more mobile devices like PDAs or smartphones are equipped with a camera. Due to this fact, mobile face recognition will gain popularity in identifying persons e.g. in order to prevent unauthorized use or access to data and equipment. In this paper, the feature based face(More)
Emotion recognition and adequate reactions are a crucial part of human communication and hence should also be considered for interactions between humans and robots. In this paper we present the robot head MEXI which is able to recognize emotions of its human counterpart from a video sequence using a fuzzy rule based approach. It reacts on these perceptions(More)
In mechatronic systems a lot of components above the controller level are needed for the development towards self-optimizing systems. Among them a hybrid planning architecture integrating discrete and continuous domains is of major importance to support the permanent determination of system objectives and their implementation during the course of action,(More)
This paper describes the realization of a natural speech dialogue for the robot head MEXI with focus on its emotion recognition. Specific for MEXI is that it can recognize emotions from natural speech and also produce natural speech output with emotional prosody. For recognizing emotions from the prosody of natural speech we use a fuzzy rule based approach.(More)
This paper describes the emotion recognition from natural speech as realized for the robot head MEXI. We use a fuzzy logic approach for analysis of prosody in natural speech. Since MEXI often communicates with well known persons but also with unknown humans, for instance at exhibitions, we realized a speaker dependent mode as well as a speaker independent(More)
This paper presents the robot head MEXI which is able to communicate to humans in an emotional way. MEXI recognizes emotions of its human counterpart from the prososdy of his or her natural speech using a fuzzy rule based approach. MEXI reacts on its perceptions by showing artificial emotions in its facial expressions and in the prosody of its synthesized(More)
This paper presents VisiTrack, a novel approach for video based incremental tracking in real-time. The major objectives in the development of VisiTrack was to design or select algorithms that are well suited for embedded real-time computation. We had a special focus on latency reduction and storage minimization since the algorithms should run on mobile(More)