Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

The rapid advancement of deep learning models that can generate and synthesis hyper-
realistic videos known as Deepfakes and their ease of access to the general public have …

The activations of Facial Action Units (AUs) mutually influence one another. While the
relationship between a pair of AUs can be complex and unique, existing approaches fail to …

With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …

Micro-expressions recognition is a challenge because it involves subtle variations in facial
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …

Considering most deep learning-based methods heavily depend on huge labels, it is still a
challenging issue for facial expression recognition to extract discriminative features of …

Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on
facial expression recognition. However, the performance degrades dramatically under real …

Recognition of expressions of emotions and affect from facial images is a well-studied
research problem in the fields of affective computing and computer vision with a large …

The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …