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

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 …

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 …

Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …

Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions
that people do not intend to show. Studying MEs is valuable as recognizing them has many …

Composite-database micro-expression recognition is attracting increasing attention as it is
more practical for real-world applications. Though the composite database provides more …

Spontaneous facial micro-expression analysis has become an active task for recognizing
suppressed and involuntary facial expressions shown on the face of humans. Recently …

Recently, there are increasing interests in inferring mirco-expression from facial image
sequences. For micro-expression recognition, feature extraction is an important critical …

Recently, there have been increasing interests in inferring mirco-expression from facial
image sequences. Due to subtle facial movement of micro-expressions, feature extraction …

Micro-expression recognition aims to infer genuine emotions that people try to conceal from
facial video clips. It is a very challenging task because micro-expressions have a very low …