Facial Expression Recognition in Educational Research From the Perspective of Machine Learning: A Systematic Review-Reference-Cited by-同舟云学术

Facial Expression Recognition in Educational Research From the Perspective of Machine Learning: A Systematic Review

Published:2023 Issue: Volume:11 Page:112060-112074
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fang Bei¹^ORCID,Li Xian¹,Han Guangxin¹,He Juhou¹^ORCID

Affiliation:

1. Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10273682.pdf?arnumber=10273682

Reference108 articles.

1. Emotions students’ faces recognition using hybrid deep learning and discrete Chebyshev wavelet transformations;mohammed;Comput Sci,2022

2. Modeling adaptive E-Learning environment using facial expressions and fuzzy logic

3. Automatic detection of students’ affective states in classroom environment using hybrid convolutional neural networks;ashwin;Educ Inf Technol,2020

4. Smart Classroom Monitoring Using Novel Real-Time Facial Expression Recognition System

5. Spontaneous facial behavior analysis using deep transformer based framework for child–computer interaction;qayyum;ACM Trans Multimedia Comput Commun Appl (TOMM),2022

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