Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …

The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

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 …

Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect
and recognize. Most recent works have attempted to recognize MEs with spatial and …

In the recent year, state-of-the-art for facial micro-expression recognition have been
significantly advanced by deep neural networks. The robustness of deep learning has …

Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes
underlying emotions. Motivated by recent exploits into deep learning for micro-expression …

As one of the important psychological stress reactions, Micro-expressions (MEs) are
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …

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 …

Generally, facial expressions could be classified into two categories: static facial
expressions and micro-expressions. There are many promising applications of facial …

Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …