Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

Effective interactions between humans and robots are vital to achieving shared tasks in
collaborative processes. Robots can utilize diverse communication channels to interact with …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …

Recent research has shown that facial expressions and body gestures are two significant
implications in identifying human emotions. However, these studies mainly focus on …

In this letter, we address the problem of multi-cue affect recognition in challenging scenarios
such as child–robot interaction. Toward this goal we propose a method for automatic …

Digital Twin is the seamless data integration between a physical and virtual machine in
either direction. Emotion recognition in healthcare is becoming increasingly important due to …

In this paper, we address the problem of recognizing student engagement in prosocial
games by exploiting engagement cues from different input modalities. Since engagement is …

In human-human interaction, body language is one of the most important emotional
expressions. However, each emotion category contains abundant emotional body gestures …

Board games are fertile grounds for the display of social signals, and they provide insights
into psychological indicators in multi-person interactions. In this work, we introduce a new …