Abstract:Affective experience prediction using different data modalities measured from an individual such as their facial expression or physiological signals has received substantial research attention in recent years. However, most studies ignore the fact that people besides having different responses under affective stimuli, may also have different resting dynamics (embedded in both facial and physiological patterns) to begin with. In this paper, we present a multimodal approach to simultaneously analyze facial movem… Show more
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