Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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A Comparative Analysis of Single and Multi-Modality-Based Emotion Recognition for Disease Prevention

Authors
Han Jin1, *
1School of Artificial Intelligence and Big Data, Hefei University, Hefei, Anhui, 230000, China
*Corresponding author. Email: 100301@yzpc.edu.cn
Corresponding Author
Han Jin
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_35How to use a DOI?
Keywords
Deep Learning; Machine Learning; Emotion Recognition; Disease Prevention
Abstract

With the continuous growth of the economic level, disease and health problems have attracted more and more attention. Emotions and diseases are inextricably linked, which can be used as the response signal of physical diseases. Accurate emotion recognition is crucial for enhancing communication, improving customer service, and assisting mental health treatment by identifying emotional states. This paper summarizes the recent development of machine learning and deep learning-based emotion recognition technology, including fusion strategy, single-mode and multi-mode. This work aims at providing readers with a better understanding of the cutting-edge developments in this field. In addition, the possible future research and application directions are discussed, including the combination research with other recognition technologies and the application of disease prevention scenarios, and the future research directions in this field are predicted and analyzed. The purpose of this study is to provide valuable reference for researchers in the field of emotion recognition and disease prevention, so as to promote the development of emotion recognition technology in the field of disease prevention.

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 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_35How 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  - Han Jin
PY  - 2024
DA  - 2024/09/23
TI  - A Comparative Analysis of Single and Multi-Modality-Based Emotion Recognition for Disease Prevention
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 323
EP  - 332
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_35
DO  - 10.2991/978-94-6463-512-6_35
ID  - Jin2024
ER  -