Baseline Estimation in Face Detection for AI Proctored Examinations through Convoluted Neural Networks
2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023
; 2023.
Article
Dans Anglais
| Scopus | ID: covidwho-2326250
ABSTRACT
The COVID-19 pandemic took the world by surprise, and everything came to a halt. The education sector had to adjust accordingly by shifting to online learning. If the online delivery experience was overall successful, assessment integrity becomes questionable as examinees still manage to circumvent the anti-plagiarism mechanism put in place. In this paper, we propose an artificial intelligence solution using face and head pose detection to estimate the neutral position of the examinee which will form the basis to detect any suspicious behavior. The resulting implementation achieved a 97% accuracy when detecting the examinee in the frame and a 98% accuracy when there are multiple faces detected. © 2023 IEEE.
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
Scopus
langue:
Anglais
Revue:
2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023
Année:
2023
Type de document:
Article
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