Recently, many studies have shown that integrating multiple modalities can more accurately
and robustly identify human emotions compared with a single modality. However, how to …

This paper focuses on Multimodal Emotion Recognition (MER) which can be conceptually
perceived as the superset of Speech Emotion Recognition (SER) and Facial Emotion …

Emotion recognition is an important factor in social communication and has a wide range of
applications from retail to healthcare. In psychology, emotion recognition focuses on …

Emotions of learners are crucial and important in e-learning as they promote learning. To
investigate the effects of emotions on improving and optimizing the outcomes of e-learning …

Introduction Multimodal emotion recognition has become a hot topic in human-computer
interaction and intelligent healthcare fields. However, combining information from different …

Emotion recognition plays an important role in human life and healthcare. The EEG has
been extensively researched as an objective indicator of intense emotions. However, current …

Background Emotion recognition is an interesting and challenging problem and has
attracted much attention in recent years. To more accurately express emotions, emotion …

Traditional approaches for emotion recognition utilize unimodal physiological signals. The
effectiveness of such systems is affected by some limitations. To overcome them, this paper …

Purpose: Emotions are integral brain states that can influence our behavior, decision-
making, and functions. Electroencephalogram (EEG) is an appropriate modality for emotion …

In recent years, emotion recognition has received increasing attention as it plays an
essential role in human-computer interaction systems. This paper proposes a four-class …