A vision-based multi-cues approach for individual students’ and overall class engagement monitoring in smart classroom environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17533-w.pdf
Reference71 articles.
1. Huang LS, Su JY, Pao T-L (2019) A context aware smart classroom architecture for smart campuses. Appl Sci 9(9). https://doi.org/10.3390/app9091837
2. Rashmi M, Ashwin T, Guddeti RMR (2021) Surveillance video analysis for student action recognition and localization inside computer laboratories of a smart campus. Multimed Tools Appl 80(2):2907–2929. https://doi.org/10.1007/s11042-020-09741-5
3. Pabba C, Kumar P (2022) An intelligent system for monitoring students’ engagement in large classroom teaching through facial expression recognition. Expert Syst 39(1):e12839. https://doi.org/10.1111/exsy.12839
4. Ahuja K et al (2019) Edusense: practical classroom sensing at scale. Proc ACM Interact Mob Wearable Ubiquitous Technol 3(3). https://doi.org/10.1145/3351229
5. Kwet M, Prinsloo P (2020) The ‘smart’ classroom: a new frontier in the age of the smart university. Teach High Educ 25(4):510–526. https://doi.org/10.1080/13562517.2020.1734922
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