Facial emotion recognition of deaf and hard-of-hearing students for engagement detection using deep learning

Author:

Lasri ImaneORCID,Riadsolh Anouar,Elbelkacemi Mourad

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Reference39 articles.

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3. Aslan, S., Alyuz, N., Tanriover, C., Mete, S., Okur, E., D’Mello, S., & Arslan Esme, A. (2019). Investigating the impact of a real-time, multi- modal student engagement analytics technology in authentic classrooms. In Proceedings of the 2019 conference on human factors in computing systems (chi). https://doi.org/10.1145/3290605.3300534 (pp. 1–12). Glasgow Scotland, UK: ACM.

4. Ayouni, S., Hajjej, F., Maddeh, M., & Al-Otaibi, S. (2021). A new ml-based approach to enhance student engagement in online environment. PLoS ONE, 16(11), 0258788. https://doi.org/10.1371/journal.pone.0258788.

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