The Detection of Students' Abnormal Behavior in Online Exams Using Facial Landmarks in Conjunction with the YOLOv5 Models

The Detection of Students' Abnormal Behavior in Online Exams Using Facial Landmarks in Conjunction with the YOLOv5 Models

The popularity of massive open online courses (MOOCs) and other forms of distance learning has increased recently. Schools and institutions are going online to serve their students better. Exam integrity depends on the effectiveness of proctoring remote online exams. Proctoring services powered by c...

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Bibliographic Details
Main Authors: Muhanad Abdul Elah Alkhalisy, Saad Hameed Abid
Format: Article
Language:Arabic
Published: University of Information Technology and Communications 2023-06-01
Series:Iraqi Journal for Computers and Informatics
Subjects:
facial landmarks
behaviour recognition
dlib
online proctoring
deep learning
Online Access:https://ijci.uoitc.edu.iq/index.php/ijci/article/view/380

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