Automatic facial expression recognition has gained much attention during the last decade because of its potential application in areas such as more engaging human-computer interfaces. Automatic facial expression recognition is a sub-area of face analysis research that is based heavily on methods of computer vision, machine learning, and image processing. Many efforts either to create a novel or...

----------------------------------------------------------------***-----------------------------------------------------------------Abstract The automatic Facial Expression Recognition has been one of the latest research topic since 1990's. Face Expression plays an important role in human communication. This paper presents a high-level overview of automatic expression recognition; it highlights...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper objective is to introduce needs and applications of facial expression recognition. Between Verbal & Non-Verbal form of communication facial expression is form of non-verbal communication but it plays pivotal role. It express human perspe...

This study assessed whether presenting 3D face stimuli could facilitate children's facial expression recognition. Seventy-one children aged between 3 and 6 participated in the study. Their task was to judge whether a face presented in each trial showed a happy or fearful expression. Half of the face stimuli were shown with 3D representations, whereas the other half of the images were shown as 2...

At present, traditional facial expression recognition methods of convolutional neural networks are based on local ideas for feature expression, which results in the model’s low efficiency capturing dependence between long-range pixels, leading to poor performance recognition. In order solve above problems, this paper combines a self-attention mechanism with residual network and proposes new mod...