Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …

Methods for detecting emotions that employ many modalities at the same time have been
found to be more accurate and resilient than those that rely on a single sense. This is due to …

In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Background: Flow experience is a specific positive and affective state that occurs when
humans are completely absorbed in an activity and forget everything else. This state can …

Human social interaction is a multimodal process that integrates several communication
channels, such as speech, facial expressions, body gestures, and touch. For intelligent …

The perception and recognition of emotional expressions provide essential information
about individuals' social behavior. Therefore, decoding emotional expressions is very …

Multi-modal emotion recognition has gained increasing attention in recent years due to its
widespread applications and the advances in multi-modal learning approaches. However …

StressID is a new dataset specifically designed for stress identification fromunimodal and
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …

In the process of day-to-day learning, expressions are very vital. Detection of human
expressions is growing and has caught the interest of many researchers in the past few …