This paper provides a comprehensive overview of affective computing systems for facial
expression recognition (FER) research in naturalistic contexts. The first section presents an …

Facial expression recognition (FER) is embedded in many real-world human-computer
interaction tasks, such as online learning, depression recognition and remote diagnosis …

Since the Transformer architecture was introduced in 2017, there has been many attempts to
bring the self-attention paradigm in the field of computer vision. In this paper, we propose …

Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field
of affective computing have yielded impressive progress in automatically detecting facial …

With the development of intelligent automotive human-machine systems, driver emotion
detection and recognition has become an emerging research topic. Facial expression-based …

Nowadays, there has been much attention on computer vision regarding human-computer
interaction, especially facial expression recognition (FER). Many researchers have explored …

Recent technological developments have enabled computers to identify and categorize
facial expressions to determine a person's emotional state in an image or a video. This …

This paper presents an implementation of RoSA, a Robot System Assistant, for safe and
intuitive human-machine interaction. The interaction modalities were chosen and previously …

The ability to recognize facial expressions using computer vision is a crucial task that has
numerous potential applications. Although deep neural networks have achieved high …

Facial expressions help individuals convey their emotions. In recent years, thanks to the
development of computer vision technology, facial expression recognition (FER) has …