Facial expression recognition (FER) is the task of determining a person's current emotion. It
plays an important role in healthcare, marketing, and counselling. With the advancement in …

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 …

Researchers are interested in Facial Emotion Recognition (FER) because it could be useful
in many ways and has promising applications. The main task of FER is to identify and …

Facial expression recognition is an intriguing and demanding subject in the realm of
computer vision. In this paper, we propose a novel deep learning-based strategy to address …

A person's emotion can be represented through facial expressions in non-vocal
communication. Nowadays, automatic facial expression recognition systems have attracted …

Deep Convolutional Neural Network (DCNN) is widely used as state-of-the art models for
image classification. There is a variety of applications related to image classification such as …

The usefulness and importance of sentiment analysis task is a widely discussed and
effective technique in e-commerce. E-commerce is a very convenient way to buy things …

The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …

Automatic facial expression recognition is an important component for efficient human-
computer interaction system, and over the past decades, it has become a highly active …

In this research work, Facial Expression Recognition (FER) is used in the analysis of facial
expressions during the online learning sessions in the prevailing pandemic situation. An …