Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

Facial emotion recognition (FER) is an important topic in the fields of computer vision and
artificial intelligence owing to its significant academic and commercial potential. Although …

The RAVDESS is a validated multimodal database of emotional speech and song. The
database is gender balanced consisting of 24 professional actors, vocalizing lexically …

Facial expressions reflect people's feelings, emotions, and motives, attracting researchers to
develop a self-acting automatic facial expression recognition system. With the advances of …

Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

Emotional facial expressions play a critical role in theories of emotion and figure prominently
in research on almost every aspect of emotion. This article provides a background for a new …

Emotion plays an important role in communication. For human–computer interaction, facial
expression recognition has become an indispensable part. Recently, deep neural networks …

This paper introduces an accurate and robust facial expression recognition (FER) system.
For feature extraction, the proposed FER system employs stepwise linear discriminant …

Most of the existing sets of facial expressions of emotion contain static photographs. While
increasing demand for stimuli with enhanced ecological validity in facial emotion recognition …

With a shift in interest toward dynamic expressions, numerous corpora of dynamic facial
stimuli have been developed over the past two decades. The present research aimed to test …