This paper addresses the paradox of transition to online distance learning during COVID-19
pandemic in Higher Education Institutions (HEIs) in developing countries. The systematic …

Children with autism face a range of challenges when it comes to verbal and nonverbal
communication. It is essential that children participate in a variety of social, educational, and …

Emotions expressed by humans can be identified from facial expressions, speech signals, or
physiological signals. Among them, the use of physiological signals for emotion …

Anthropomorphism is the act of attributing human-like characteristics to non-human objects
and has played a key role in the field of emotional design in multimedia learning. Despite its …

As a collection of various IoT devices, smart classroom can record various forms of teaching
data and provide rich data for recognizing teachers' emotions. Recognizing and analyzing …

Classroom interactivity is one of the important metrics for assessing classrooms, and
identifying classroom interactivity through classroom image data is limited by the …

Convolutional neural networks (CNN) have advanced significantly in object detection, image
classification, and various other implementions, including Facial Expression Recognition …

Facial expression recognition (FER) is one of the best non-intrusive methods for
understanding and tracking mood and mental states. In this study, we propose early and late …

Facial recognition and emotion detection are crucial for meaningful interactions between
elderly individuals and healthcare robots. These technologies allow the robot to identify and …

In learning environment, instructor's emotions may impact the relationship with students. A
wide range of research has been conducted on the facial expression of the student, but the …