Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

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 …

Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …

Micro-facial expressions are spontaneous, involuntary movements of the face when a
person experiences an emotion but attempts to hide their facial expression, most likely in a …

Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …

Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Micro-expressions recognition is a challenge because it involves subtle variations in facial
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …

A robust automatic micro-expression recognition system would have broad applications in
national safety, police interrogation, and clinical diagnosis. Develo** such a system …

Micro-expressions are brief facial movements characterized by short duration,
involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a …

As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …