Advancing Fine-Grained Emotion Recognition in Short Text
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Antonio Damasio's works have brought emotions into line with current trends in neuroscience. They are conceived as the addition, to a perception, of the somatic effects it has induced. Nevertheless, this continuous and relatively steady process of body per ...
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The search for the perfect virtual character is on, but the moment users interact with characters, any illusion that we’ve found it is broken. Adding memory capabilities to models of human emotions, personality, and behavior traits is a step toward a more ...
Institute of Electrical and Electronics Engineers2009
The ability to correctly interpret emotional signals from others is crucial for successful social interaction. Previous neuroimaging studies showed that voice-sensitive auditory areas [1-3] activate to a broad spectrum of vocally expressed emotions more th ...
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This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) represe ...
Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expr ...
Presents a system dedicated to producing behavioral animation involving autonomous actors. To increase their believability, this system not only allows defining their behavior but also contains an emotional model which generates emotions felt by the actors ...
Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expr ...