Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Image Preprocessing Method Applied on Facial Emotion Recognition Problem

Authors
Mingyang Xu1, *
1Xi’an University of Posts & Telecommunications, Xi’an, China
*Corresponding author. Email: 2113203787@qq.com
Corresponding Author
Mingyang Xu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_32How to use a DOI?
Keywords
Facial emotion recognition; Image Preprocessing; Emotional patterns
Abstract

Sometimes people are unable to accurately express their views on a certain product, which may limit in accurately describing emotions. Facial emotion recognition can help solve the problem of people being unable to accurately express their opinions on products, by analyzing facial expressions to obtain emotional feedback. The application value and importance of this technology lies in providing a nonverbal way to understand user emotions, helping manufacturers enhance user satisfaction. Vision Transformer (ViT) model is very powerful on the Computer Vision Problems. In this paper. I used the VIT model to analyze the facial expression dataset and attempted different preprocessing methods. Through the VIT model. I can associate each data sample with the corresponding expression to determine the category of the expression. Then, compared the results obtained using different preprocessing methods and ultimately determine which method performs best in terms of accuracy. After comparing the accuracy obtained through various preprocessing methods, I found that RandomCrop has the highest accuracy and is most suitable for facial expression.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_32
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_32How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mingyang Xu
PY  - 2024
DA  - 2024/02/14
TI  - Image Preprocessing Method Applied on Facial Emotion Recognition Problem
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 297
EP  - 304
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_32
DO  - 10.2991/978-94-6463-370-2_32
ID  - Xu2024
ER  -