Recognition of Teachers’ Facial Expression Intensity Based on Convolutional Neural Network and Attention Mechanism

Recognition of Teachers’ Facial Expression Intensity Based on Convolutional Neural Network and Attention Mechanism

The evaluations of traditional teaching quality are mainly subjective, and there is a lack of fine-grained objective data to support the evaluation of teaching states in the classroom. In this paper, an intensity-based facial expression dataset is proposed and named EIDB-13, which contains 13 kinds...

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Bibliographic Details
Main Authors: Kun Zheng, Dong Yang, Junhua Liu, Jinling Cui
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention mechanism
convolutional neural network
expression recognition
intensity of facial expression
Online Access:https://ieeexplore.ieee.org/document/9301312/

Internet

https://ieeexplore.ieee.org/document/9301312/

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