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Fadoua Ghanimi
Ibn Toufail University(UIT), Kenitra, Morocco

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Towards a new method of estimating the student attention based on the eye gaze Tarik Hachad; Abdelalim Sadiq; Fadoua Ghanimi; Lamiae Hachad; Ahmed Laguidi
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp867-877

Abstract

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.
Co-Authors Abdelalim Sadiq Ahmed Laguidi Lamiae Hachad Tarik Hachad