Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …

Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …

Micro-expressions (MEs) are spontaneous and involuntary facial subtle reactions which
often reveal the genuine emotions within human beings. Recognizing MEs automatically is …

Emotion recognition based on facial expressions is very important for effective interaction of
humans with artificial intelligence (AI) systems such as social robots. On the other hand, in …

Over the past few years, the importance of the facial micro-expression (FME) has garnered
increasing attention from experts because of its potential applications from the judgment …

Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …

Facial expressions are an important part of human emotional signals and their recognition
has become an important topic of research in the field of pattern recognition. Deep learning …

Abstract The Local Binary Pattern (LBP) is a commonly used method for texture classification
that performs well in terms of feature discrimination. However,(1) LBP can misclassify some …

Micro-expressions typically reflect suppressed feelings and they can provide an accurate
indication of the real feelings and motivations of a person. Accordingly, they have been used …

Facial microexpression recognition (FMER) has recently gained increasing attention in the
interrogation and clinical diagnosis fields. However, accurate FMER suffers from not only the …