Quantitative Analysis of Classroom Attention Teaching Based on Stochastic Cascade Regression and PnP Method

DOI

10.2991/978-94-6463-012-1_66How to use a DOI?

Keywords

component: Classroom Teaching; Stochastic Cascade Regression; PnP; Quantitative Analysis

Abstract

In the process of quantitative analysis of classroom teaching, it is often necessary to evaluate individual indicators related to attention such as “whether the teacher’s teaching attracts students, whether it stimulates the enthusiasm for learning” and “whether there is eye contact between teachers and students”. Learning attention reflects the students’ learning state and learning psychology, and meets the observable, reproducible, and interpretable requirements for quantitative analysis of the classroom teaching process. The project team used random cascade regression to obtain the coordinate information of 11 facial feature points. Used to provide 2D information in PnP solutions. Based on a standard face model obtained by statistical measurement, the mapping relationship between 2D/3D is obtained by solving PnP, and the rotation and translation matrices of the head pose are output. According to the rotation and translation matrix information of the head posture, the student’s viewpoint is projected into the teacher’s teaching video shot by the rear camera by using the transformation relationship of the spatial coordinates, so as to realize the visual display of learning attention.

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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TY  - CONF
AU  - Bing Gong
AU  - Jing Wei
PY  - 2022
DA  - 2022/12/09
TI  - Quantitative Analysis of Classroom Attention Teaching Based on Stochastic Cascade Regression and PnP Method
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 596
EP  - 604
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_66
DO  - 10.2991/978-94-6463-012-1_66
ID  - Gong2022
ER  -