Facial Expression Recognition (FER) is rapidly developing field of Computer Vision and
Pattern Recognition directions. FER can be helpful for various purposes: in security systems …

Deep learning has received increasing attention in all fields and has made considerable
progress in facial expression recognition (FER). Mainly, the conventional FER methods are …

As we move towards a digital world, Human Computer Interaction becomes very important.
A lot of research has been done in this field over the past decade. Face expressions are a …

As an important part of emotion research, facial expression recognition is a necessary
requirement in human–machine interface. Generally, a face expression recognition system …

Facial expressions are part of human language and are often used to convey emotions. With
the development of human-computer interaction technology, people pay more and more …

In this paper, we propose facial expression recognition using CNN (Convolutional Neural
Network), one of the deep learning technologies. The proposed structure has general …

Facial expression recognition is a challenging problem in image classification. Recently, the
use of deep learning is gaining importance in image classification. This has led to increased …

Recognition of facial expressions plays a major role in many automated system applications
like robotics, education, artificial intelligence, and security. Recognizing facial expressions …

Deep learning is very popular methods for facial expression recognition (FER) and
classification. Different types of deep learning algorithms have been used for FER such as …

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