Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Recognizing emotion from postures: cross-cultural differences in user modeling
UM'05 Proceedings of the 10th international conference on User Modeling
How to distinguish posed from spontaneous smiles using geometric features
Proceedings of the 9th international conference on Multimodal interfaces
Recognizing Affective Dimensions from Body Posture
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Does Body Movement Engage You More in Digital Game Play? and Why?
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Personal and Ubiquitous Computing
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Recently, researchers have been modeling three to nine discrete emotions for creating affective recognition systems. However, in every day life, humans use a rich and powerful language for defining a large variety of affective states. Thus, one of the challenging issues in affective computing is to give computers the ability to recognize a variety of affective states using unsupervised methods. In order to explore this possibility, we describe affective postures representing 4 emotion categories using low level descriptors. We applied multivariate analysis to recognize and categorize these postures into nuances of these categories. The results obtained show that low-level posture features may be used for this purpose, leaving the naming issue to interactive processes.