Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …

We present a learning-based method for detecting real and fake deepfake multimedia
content. To maximize information for learning, we extract and analyze the similarity between …

In this paper, we review the major approaches to multimodal human–computer interaction,
giving an overview of the field from a computer vision perspective. In particular, we focus on …

Deep learning has emerged as a powerful machine learning technique to employ in
multimodal sentiment analysis tasks. In the recent years, many deep learning models and …

Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

Abstract Kindergarten Social Assistive Robotics (KindSAR) is a novel technology that offers
kindergarten staff an innovative tool for achieving educational aims through social …

Psychological research findings suggest that humans rely on the combined visual channels
of face and body more than any other channel when they make judgments about human …

We present an approach for the recognition of acted emotional states based on the analysis
of body movement and gesture expressivity. According to research showing that distinct …