Deep learning (DL) models have been widely studied in the field of micro-expression
recognition (MER). However, micro-expressions (MEs) suffer from small number of samples …

Micro-expressions have drawn increasing interest lately due to various potential
applications. The task is, however, difficult as it incorporates many challenges from the fields …

The objective of the article is to recognize users' emotions by classifying facial
electromyographic (EMG) signals. A biomedical signal amplifier, equipped with eight active …

Mental health is indispensable for effective daily functioning and stress management. Facial
expressions may provide vital clues about the mental state of a person as they are …

Most micro-and macro-expression spotting methods in untrimmed videos suffer from the
burden of video-wise collection and frame-wise annotation. Weakly-supervised expression …

Frame-level micro-and macro-expression spotting methods require time-consuming frame-
by-frame observation during annotation. Meanwhile, video-level spotting lacks sufficient …

Micro-expressions (MEs) are brief, subtle facial expressions that reveal concealed emotions,
offering key behavioral cues for social interaction. Characterized by short duration, low …

The perception and interpretation of faces provides individuals with a wealth of knowledge
that enables them to navigate their social environments more successfully. Prior research …