Improving Classroom Quality by Analyzing Student Behaviors Through Computer Vision-Reference-Cited by-同舟云学术

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Improving Classroom Quality by Analyzing Student Behaviors Through Computer Vision

Published:2023-12-15 Issue: Volume: Page:322-325
ISSN:
Container-title:2023 4th International Conference on Information Science and Education (ICISE-IE)
language:
Short-container-title:

Author:

Chen Xiaopan¹,Li Boyuan¹,Zhu Xiaoke²,Zhang Tao³

Affiliation:

1. School of Computer and Information Engineering, Henan University,Kaifeng,China

2. Henan Engineering Research Center of Intelligent Technology, Henan University,Kaifeng,China

3. Henan University,Henan Key Laboratory of Big Data Analysis and Processing,Kaifeng,China

Funder

Young Scientists Fund of the National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10456367/10456374/10456445.pdf?arnumber=10456445

Reference6 articles.

1. Linking Students’ Emotions and Academic Achievement: When and Why Emotions Matter

2. Learning Behavior Analysis in Classroom Based on Deep Learning

3. Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students’ behaviors in classroom scenes

4. Classroom Learning Status Assessment Based on Deep Learning

5. JRL-YOLO: A Novel Jump-Join Repetitious Learning Structure for Real-Time Dangerous Object Detection

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