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Titlebook: Affective Information Processing; Jianhua Tao,Tieniu Tan Book 2009 Springer-Verlag London 2009 Affect.Affective Computing.Affective Inform

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Face Animation Based on Large Audiovisual Databasematically addresses audiovisual data acquisition, expressive trajectory analysis, and audiovisual mapping. Based on this framework, we learn the correlation between neutral facial deformation and expressive facial deformation with the Gaussian Mixture Model (GMM). A hierarchical structure is propose
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Affect in Multimodal Informationrbal and thenonverbal modalities of communication. From this point of view, the transmission of the information content is redundant, because the same information is transferred through several channels as well. How much information about the speaker‘s emotional state is transmitted by each channel
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A Multimodal Corpus Approach for the Study of Spontaneous Emotions. Current prototypes are often limited to the detection and synthesis of a few primary emotions and are most of the time grounded on acted data collected in-lab. In order to model the sophisticated relations between spontaneous emotions and their expressions in different modalities, an exploratory a
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Physiological Sensing for Affective Computinghysiological processes related to sympathetic activity of the autonomic nervous system. A reason for physiological measurements not being used in emotion-related HCI research or affective applications is the lack of appropriate sensing devices. Existing systems often don’t live up to the high requir
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Evolutionary Expression of Emotions in Virtual Humans Using Lights and Pixelsield of virtual humans has been neglecting the kind of expression we see in the arts. In fact, researchers have tended to focus on gesture, face, and voice for the expression ofemotions. But why limit ourselves to the body? In this context, drawing on accumulated knowledge from the arts, this chapte
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