Relevant Component Analysis for static facial expression classification
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Traditional techniques for emotion recognition have focused on the facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present deep networks for context-aware emotion ...
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Research in psychology and social neuroscience distinguishes between dispositional and situational empathy for the cognitive and affective aspects of empathy. Yet, the Pictorial Empathy Test (PET) is one of the few brief tests focusing on situational affec ...
The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...
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Recent deep neural networks based methods have achieved state-of-the-art performance on various facial expression recognition tasks. Despite such progress, previous researches for facial expression recognition have mainly focused on analyzing color recordi ...