With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …

Micro-expressions (ME) are a special form of facial expressions which may occur when
people try to hide their true feelings for some reasons. MEs are important clues to reveal …

Facial information plays an important role in human communication, eg, rich and nuanced
facial expressions effectively convey emotions. Traditional data such as 2D facial images …

The three-dimensional representation of the human face has emerged as a viable and
effective way to characterize the facial surface for expression classification purposes. The …

Facial expression recognition has been widely used to solve the problems such as lie
detection and human-machine interaction. However, due to the difficulties to control the …

Facial expression recognition is very useful for effective human–computer interaction, robot
interfaces, and emotion-aware smart agent systems. This paper presents a new framework …

In emotion studies, critiques of the use of a static facial expression have been directed to its
resulting from poor ecological validity. We conducted a study of studies in the present work …

Facial expression is an important aspect to recognize emotions between humans. However,
this task remains difficult for machines. Several approaches have been developed aiming at …

This paper presents an effective method for automated 3D/4D facial expression recognition
based on Mesh-Local Binary Pattern Difference (mesh-LBPD). In contrast to most of existing …