Children's Emotion Recognition Based on Convolutional Neural Network
Authors: 
Wenxing Zhou, Yi SunAuthors Info & Claims
Wenxing Zhou, Yi SunAuthors Info & ClaimsPages 1 - 5
Abstract
In this paper, a facial expression recognition model for children was presented. Based on the existing research, this study divides common learner emotions into happiness, concentration, panic and boredom, and builds a large-scale learner emotion database based on this, and proposes a child emotion recognition method based on deep learning. Compared with traditional learner emotion recognition methods, this method has higher accuracy and robustness.
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Index Terms
- Children's Emotion Recognition Based on Convolutional Neural Network
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Published In
September 2020
329 pages
ISBN:9781450387873
DOI:10.1145/3425329
Copyright © 2020 ACM.
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In-Cooperation
- Wuhan Univ.: Wuhan University, China
- University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 November 2020
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WSSE 2020
WSSE 2020: 2020 The 2nd World Symposium on Software Engineering
September 25 - 27, 2020
Chengdu, China
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