Search : #MULTIMODAL
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Computer captures individual attention
Originally published at Industry of Things (in German) on November 18, 2018 Facial expressions and gestures are important. But whether one person listens to another or not, cannot be understood from…
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Multimodal Approach to Engagement and Disengagement Detection with Highly Imbalanced In-the-Wild Data (for ICMI 2018)
In this paper we describe different approaches to building engagement/disengagement models working with highly imbalanced multimodal data from natural conversations.
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RAMAS: Russian Multimodal Corpus of Dyadic Interaction for Affective Computing (for SPECOM 2018)RAMAS is an open database that provides research community with multimodal data of faces, speech, gestures and physiology interrelation. Such material is useful for various investigations and automatic affective systems…