Analysis of Facial Expressions for the Estimation of Concentration on Online Lectures

Author:

Miao RenjunORCID,Kato HarukaORCID,Hatori YasuhiroORCID,Sato YoshiyukiORCID,Shioiri SatoshiORCID

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Shioiri, S., Sato, Y., Horaguchi, Y., Muraoka, H., Nihei, M.: Quali-informatics in the society with yotta scale data. In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–4 (2021)

2. Sato, Y., Horaguchi, Y., Vanel, L., Shioiri, S.: Prediction of image preferences from spontaneous facial expressions. Interdiscip. Inf. Sci. 28(1), 45–53 (2022)

3. Horaguchi, Y., Sato, Y., Shioiri, S.: Estimation of preferences to images by facial expression analysis. IEICE Tech. Rep. 120(306), HIP2020-67, 71–76 (2020)

4. Thomas, C., Jayagopi, D.B.: Predicting student engagement in classrooms using facial behavioral cues. In: Proceedings of 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, pp. 33–40. ACM, New York (2017)

5. https://www.youtube.com/watch?v=uVaOzQLxXt0. Accessed 02 Oct 2022

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1. Prediction of Engagement from Facial Expressions: Effect of Dynamic Factors;Advances in Intelligent Information Hiding and Multimedia Signal Processing;2023

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