Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Quantitative Analysis Technology of Classroom Teaching Based on Facial Expression Recognition Technology and Attention Analysis Technology

Authors
Bing Gong1, *
1Information Engineering School, Eurasia University, Xi’an, People’s Republic of China
*Corresponding author. Email: gongbing@eurasia.edu
Corresponding Author
Bing Gong
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_91How to use a DOI?
Keywords
Quantitative analysis; FACS model; KNN classification algorithm; viewpoint visualization
Abstract

As the first classroom teaching mode with thousands of years of development history, it is still an irreplaceable teaching form now and in the foreseeable future. In this paper, the smart education laboratory built by our school is used, and the quantitative analysis of classroom attention teaching based on random cascade regression and PnP method is used to realize the visual display of learning attention. Using the quantitative analysis of facial expression recognition in classroom teaching based on FACS and KNN classification algorithm, using Gabor and ULBPHS feature fusion, after PCA + dimensionality reduction, the learning emotion judgment and output are realized. Using the quantitative analysis of teacher attention based on three-dimensional feature point coordinate transformation of face and viewpoint visualization, the intersection of the rays in the classroom coordinate system on the camera plane is calculated first, and then the mapping point coordinates of the intersection in the teacher’s coordinate system are calculated. Finally, the viewpoint visualization in classroom teaching is realized.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
978-94-6463-034-3
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_91How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bing Gong
PY  - 2022
DA  - 2022/12/23
TI  - Quantitative Analysis Technology of Classroom Teaching Based on Facial Expression Recognition Technology and Attention Analysis Technology
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 884
EP  - 892
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_91
DO  - 10.2991/978-94-6463-034-3_91
ID  - Gong2022
ER  -