Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …

As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …

One of the most significant fields in the man–machine interface is emotion recognition using
facial expressions. Some of the challenges in the emotion recognition area are facial …

Emotion recognition is defined as identifying human emotion and is directly related to
different fields such as human–computer interfaces, human emotional processing, irrational …

In the field of pattern recognition, facial expression recognition (FER) has a significant
influence, and researchers are working hard to develop a better FER system for applications …

The research on driver fatigue detection is of great significance to improve driving safety.
This paper proposes a real-time comprehensive driver fatigue detection algorithm based on …

Despite considerable progress in face recognition technology in recent years, deep learning
(DL) and convolutional neural networks (CNN) have revealed commendable recognition …

Facial emotion recognition from facial images is considered a challenging task due to the
unpredictable nature of human facial expressions. The current literature on emotion …

One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

Attention recognition plays a vital role in providing learning support for children with autism
spectrum disorders (ASD). The unobtrusiveness of face-tracking techniques makes it …