Developing intelligent visual systems for next-generation smart classrooms has become an
active area of research in computer vision. Advances in computer vision and deep learning …

In this work, we study learning behavior analysis for automatic evaluation of the classroom
teaching. We define five classroom learning behaviors including listen, fatigue, hand-up …

This research proposes a deep learning method for classifying student behavior in
classrooms that follow the professional learning community teaching approach. We …

Nowadays, scientific and technological advances are being applied in a variety of fields, in
which education receives special attention. The students' learning status plays an important …

Effective classroom instruction requires monitoring student participation and interaction
during class, identifying cues to simulate their attention. The ability of teachers to analyze …

Tracking numerous students' behavior by observing and questioning them is a difficult task.
Therefore, several methods based on automatic facial expression recognition have been …

With the education into the intelligent era, intelligent student classroom behavior recognition
is becoming more and more important. However, it is difficult to identify students' classroom …

Monitoring students through the camera in the classroom has now become a conventional
approach and is losing its effectiveness. A student's academic achievements depend on …

In order to solve the problem of low detection efficiency and long working time in the
traditional video surveillance system for abnormal behavior detection and identification …

With the development of educational intelligence, the analysis of student behaviors has
become increasingly important. However, traditional methods are limited by subjective …