In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

As one of the most important affective signals, facial affect analysis (FAA) is essential for
developing human-computer interaction systems. Early methods focus on extracting …

Recent years have seen an explosion in graph data from a variety of scientific, social and
technological fields. From these fields, emotion recognition is an interesting research area …

Motions of facial components convey significant information of facial expressions. Although
remarkable advancement has been made, the dynamic of facial topology has not been fully …

Facial expression recognition (FER) is a crucial task for human emotion analysis and has
attracted wide interest in the field of computer vision and affective computing. General …

As emotion plays a growing role in robotic research it is crucial to develop methods to
analyze and compare among the wide range of approaches. To this end we present a …

Facial expression recognition (FER) task in the wild is challenging due to some
uncertainties, such as the ambiguity of facial expressions, subjective annotations, and low …

In recent years, many researchers are taking an interest in the research area of Face
recognition due to its diverse applications such as security systems, medical systems …

Image processing frameworks are focusing towards the use of computer vision techniques in
human PC collaboration and feeling investigation through a space mapping between the …

The use of emotion to drive robotic interaction continues to grow across a range of use
cases, from social robotics to increased survivability. Nevertheless, these efforts remain …