Towards a new method of estimating the student attention based on the eye gaze

Tarik Hachad (Ibn Toufail University(UIT), Kenitra, Morocco)
Abdelalim Sadiq (Ibn Toufail University(UIT), Kenitra, Morocco)
Fadoua Ghanimi (Ibn Toufail University(UIT), Kenitra, Morocco)
Lamiae Hachad (Sidi Mohamed Ben Abdellah University(USMBA), Fez, Morocco)
Ahmed Laguidi (Hassan II University of Casablanca Morocco)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 28, No 2: November 2022

This paper presents a new system for automating the monitoring and estimation of student attention during the course session. The followed approach is based on the analysis of the student's gaze to predict his state of attention. A simple hardware device consisting of a camera and a pc was used in this study. Existing machine learning algorithms were used for the student gaze estimation. The principles of homography were used to ensure the transformation from an image coordinates system to a real-world coordinates system. 5 students took part in this experiment and whose gaze was detected and analyzed during 10 minutes of the class session in order to analyze their states of attention and inattention.