Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

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

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

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 …

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 …

Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-
expression. Exploration of automatic facial micro-expression recognition systems is …