Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

Most existing compound facial expression recognition (FER) methods rely on large-scale
labeled compound expression data for training. However, collecting such data is labor …

Compound facial expressions involve combinations of basic emotions, posing challenges to
automatic facial expression recognition research. The focus of existing studies in facial …

Human emotions involve basic and compound facial expressions. However, current
research on facial expression recognition (FER) mainly focuses on basic expressions, and …

Facial Action Unit (AU) detection is of major importance in a broad range of artificial
intelligence applications such as healthcare, Facial Expression Recognition (FER), and …

Background: Facial emotion recognition (FER) is a vital research area in machine vision and
artificial intelligence due to its application in academics and industry. Although FER can …

Previous works on facial expression recognition focus on basic emotions, while ignoring
more complex compound expressions. However, both basic and compound emotions …

Compound Expression Recognition (CER) is vital for effective interpersonal interactions.
Human emotional expressions are inherently complex due to the presence of compound …

Human emotions contain both basic and compound facial expressions. In many practical
scenarios, it is difficult to access all the compound expression categories at one time. In this …