Exploration and Application Analysis of Crucial Techniques in Multimodal Emotion Recognition

DOI

10.2991/978-94-6463-300-9_50How to use a DOI?

Keywords

Multimodal Emotion Recognition; Key Technology of Multimodal Emotion Recognition; Multimodal Emotion Recognition Application Analysis

Abstract

Multimodal emotion recognition involves the identification of human emotional states utilizing a combination of sensory information, such as audio, video, and physiological signals. This field, straddling the domains of computer science and psychology, holds significant commercial potential in areas such as intelligent human-computer interaction and health monitoring. As a result, emotion recognition has emerged as a research hotspot in the realm of affective computing both domestically and globally. This paper offers a comprehensive overview of the multimodal sentiment analysis field, encapsulating the key technical findings to date. It further delves into pertinent experiments and application analyses pertaining to multimodal emotion recognition, contributing valuable insights to this evolving area of study. Looking ahead, the paper contemplates future trends and prospects, as well as potential research directions and strategies for the further development of multimodal emotion analysis technology. Given the rapid technological advancements and the increasing need for nuanced human-machine interactions, we posit that multimodal emotion recognition will continue to be an area of considerable focus. This paper aims to provide the foundational understanding necessary to fuel these future explorations.

Copyright

© 2023 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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TY  - CONF
AU  - Wenqi Li
PY  - 2023
DA  - 2023/11/27
TI  - Exploration and Application Analysis of Crucial Techniques in Multimodal Emotion Recognition
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 492
EP  - 500
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_50
DO  - 10.2991/978-94-6463-300-9_50
ID  - Li2023
ER  -