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 …

This paper provides a comprehensive overview of affective computing systems for facial
expression recognition (FER) research in naturalistic contexts. The first section presents an …

Emotion classification plays a crucial role in the domain of human–computer interaction, as it
holds substantial significance in effective communication. However, the task of emotion …

Facial expressions recognition (FER) is an important modality in the future assessing
teaching skill system (ATS). The fundamental difference with FER is in its low resolution …

Facial information is a powerful channel for human-to-human communication.
Characteristically, faces can be defined as biological objects that are four-dimensional (4D) …

Most prior research on basic emotions has relied upon posed, static displays that do not
accurately reflect the facial behavior seen in everyday life. To address this gap, the present …

Psychological studies have demonstrated that the facial dynamics play a significant role in
recognizing an individual's identity. This study introduces a novel database (MYFED) and …

A crucial step for developing and testing a system of facial expression analysis is to choose
the database which suits best the targeted context application. We propose in this paper a …

We use pretrained deep neural networks additionally trained using transfer learning to
recognise human emotions from photographs. Furthermore, we want to establish what face …

Micro-expression (ME) is a brief local spontaneous facial expression and an important non-
verbal clue to revealing genuine emotion. The study on automatic detection and recognition …