Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)

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Cheating Detection System Based on Eye Gaze, Head Pose and Lip Movement Detection Using CNN

Authors
Weny Mistarika Rahmawati1, *, Ahmad Syauqi Ahsan1, Dian Septiani Santoso1, Renovita Edelani1, Muhammad Latif1
1Informatics Engineering and Computer Department, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
*Corresponding author. Email: weny@pens.ac.id
Corresponding Author
Weny Mistarika Rahmawati
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-926-1_97How to use a DOI?
Keywords
CNN; Eye Gaze Detection; Head Pose Detection; Lip Movement Detection
Abstract

Online examinations have become an integral component of modern education, offering flexibility but also introducing significant challenges related to academic integrity. Cheating in an online setting is a serious issue that can undermine the credibility of the educational system. This study, therefore, aims to develop a web-based fraud detection system using a Convolutional Neural Network (CNN). The system leverages a webcam to monitor the real-time behaviour of examinees, including eye gaze direction, head posture, and mouth movements. A CNN model, specifically the ResNet50 architecture, was trained on a dataset labelled with “Cheating” and “Normal” classes. This research is expected to yield an effective fraud detection system that provides active and automated supervision. Consequently, this study not only contributes to the technological field but also aims to enhance the honesty, fairness, and overall integrity of contemporary education.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-926-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-926-1_97How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Weny Mistarika Rahmawati
AU  - Ahmad Syauqi Ahsan
AU  - Dian Septiani Santoso
AU  - Renovita Edelani
AU  - Muhammad Latif
PY  - 2025
DA  - 2025/12/31
TI  - Cheating Detection System Based on Eye Gaze, Head Pose and Lip Movement Detection Using CNN
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 868
EP  - 876
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_97
DO  - 10.2991/978-94-6463-926-1_97
ID  - Rahmawati2025
ER  -