Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-98355-0_22
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3. Zaletelj, J., Košir, A.: Predicting students’ attention in the classroom from Kinect facial and body features. J. Image Video Process. 2017, 80 (2017). https://doi.org/10.1186/s13640-017-0228-8
4. Monkaresi, H., Bosch, N., Calvo, R.A., D'Mello, S.K.: Automated detection of engagement using video-based estimation of facial expressions and heart rate. IEEE Trans. Affect. Comput. 8(1), 15–28 (2017). https://doi.org/10.1109/TAFFC.2016.2515084
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1. EduAction: A College Student Action Dataset for Classroom Attention Estimation;Lecture Notes in Computer Science;2023
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