Classroom Behavior Recognition of Students and Teaching Quality Evaluation Method Based on YOLOv5 Model-Reference-Cited by-同舟云学术

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Classroom Behavior Recognition of Students and Teaching Quality Evaluation Method Based on YOLOv5 Model

Published:2023-11-10 Issue: Volume:47 Page:303-309
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
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Author:

Du Kaihang¹,Yang Jiayu¹,Hu Kefeng¹,Xie Xia¹,He Jing Selena²,Huang Xiaoou³,Wang Lingui⁴

Affiliation:

1. Hainan University,School of Computer Science and Technology,Haikou,China

2. Kennesaw State University,Department of Computer Science,Georgia,America

3. Hainan University,Chengfeng College,Haikou,China

4. Hainan University,Nanhai College,Haikou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528605.pdf?arnumber=10528605

Reference23 articles.

1. Five Departments Jointly Issue Guidelines for the Construction of National New Generation Artificial Intelligence Standard System [J];Intelligent Manufacturing,2020

2. On the New Trends of American Education Artificial Intelligence Strategy—Based on the Interpretation of National AI R&D Strategic Plan: 2019 Update[J];Liping;Studies in Foreign Education,2020

3. AI Ethics Guideline and Its International Implications under the Framework of the EU AI Strategy [J];Jiazhang;International Forum,2020

4. Human Behavior Recognition Based on Multiscale Convolutional Neural Network

5. Human skeleton behavior recognition model based on multi-object pose estimation with spatiotemporal semantics

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