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 …

Facial Expression Recognition (FER) in the wild is an extremely challenging task. Recently,
some Vision Transformers (ViT) have been explored for FER, but most of them perform …

In this paper, we consider the problem of real-time video-based facial emotion analytics,
namely, facial expression recognition, prediction of valence and arousal and detection of …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

Facial expressions are one of the most powerful, natural and immediate means for human
being to communicate their emotions and intensions. Recognition of facial expression has …

In the past few years, facial features detection and landmarks analysis plays a vital role in
several practical application such as surveillance system, crime detector and age estimation …

Magnifying emotions recognition from facial expression is highly demanded in several
applications domains such as security, education, psychology, medical diagnosis, marketing …

Emotion recognition has become one of the most active research areas in pattern
recognition due to the emergence of human–machine interaction systems. Describing facial …

Identification of the emotional state of humans, especially kids', is a very complex activity.
Different types of emotions contribute to the behavior of kids. There are various methods to …

Automatic emotion recognition is a critical part of human-machine interactions. Reflection of
emotions and to develop its understanding is crucial to provide dealings across human …