Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …

Students' disengagement problem has become critical in the modern scenario due to
various distractions and lack of student‐teacher interactions. This problem is exacerbated …

Event cameras sense the intensity changes asynchronously and produce event streams with
high dynamic range and low latency. This has inspired research endeavors utilizing events …

Due to the rapid growth in artificial intelligence (AI) and deep learning (DL) approaches, the
security and robustness of the deployed algorithms need to be guaranteed. The security …

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

Audio-visual emotion recognition is the research of identifying human emotional states by
combining the audio modality and the visual modality simultaneously, which plays an …

In recent years, the importance of catching humans' emotions grows larger as the artificial
intelligence (AI) field is being developed. Facial expression recognition (FER) is a part of …

Facial expressions are an ideal means of communicating one's emotions or intentions to
others. This overview will focus on human facial expression recognition as well as robotic …

Facial expression recognition has been well studied for its great importance in the areas of
human–computer interaction and social sciences. With the evolution of deep learning, there …