Quantitative Analysis of Classroom Attention Teaching Based on Stochastic Cascade Regression and PnP Method
- 10.2991/978-94-6463-012-1_66How to use a DOI?
- component: Classroom Teaching; Stochastic Cascade Regression; PnP; Quantitative Analysis
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.
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Cite this article
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 -