Real-time Student Classroom Feedback with the RFMNet Framework in a Smart Classroom-Reference-Cited by-同舟云学术

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Real-time Student Classroom Feedback with the RFMNet Framework in a Smart Classroom

Published:2023-11-24 Issue: Volume:4 Page:256-261
ISSN:
Container-title:2023 13th International Conference on Information Technology in Medicine and Education (ITME)
language:
Short-container-title:

Author:

Tang Xianpiao¹,Hu Pengyun¹,Yu Dewei¹,Xia Daoxun¹

Affiliation:

1. School of Big Data and Computer Science, Guizhou Normal University,Guiyang,China

Funder

National Natural Science Foundation of China

Excellent Youth Science and Technology Talent in Guizhou Province

Guiyang Science and Technology Talent Training Project

Guizhou Normal University

Natural Science Research Project of Guizhou Provincial Department of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10505440/10505183/10505521.pdf?arnumber=10505521

Reference26 articles.

1. Facial expression recognition based on improved residual network

2. NAGNet: A novel framework for real‐time students' sentiment analysis in the wisdom classroom

3. Smart attendance monitoring system (sams): A face recognition based attendance system for classroom environment;Karunakar;Int. J. Recent Develop. Sci. Technol,2020

4. Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models

5. Computer Vision and Human Behaviour, Emotion and Cognition Detection: A Use Case on Student Engagement

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