Emotion recognition from facial images is considered as a challenging task due to the
varying nature of facial expressions. The prior studies on emotion classification from facial …

This paper introduces a new facial expression recognition method based on Gabor filters
and a genetic algorithm. Gabor features are extracted from regions of interest of the human …

Although great progress has been made in facial expression recognition, it still faces
challenges such as occlusion and pose changes in real-world scenario. To address this …

Recent deep learning-based approaches on facial expression recognition face challenges
on achieving optimal solution due to ineffective extraction of semantic expression features …

Recently, video‐based facial emotion recognition (FER) has been an attractive topic in the
computer vision society. However, processing several hundreds of frames for a single video …

In e-learning environments, several activities are offered to learners, including learning and
assessment activities. During these activities, the learner may encounter difficulties, such as …

The work presented in this Ph. D. thesis focuses on developing a large-scale distributed
video surveillance system for tracking suspicious moving objects and analysing their …

The facial expression reflects a person's emotion, cognition, and even physiological or
mental state to a large extent. It has important application value in medical treatment …

In this paper, a real-time face expression based on a Convolutional Neural Network with a
Dual Attention Module is presented for classifying various facial emotions. The system …

Facial expressions are important information that reflects human emotions. Recognizing
dynamic expressions of students in class, 8 kinds of emotions are selected for application …