The Application of Artificial Intelligence-based Multimodal Emotion Analysis

DOI

10.2991/978-94-6463-512-6_32How to use a DOI?

Keywords

Artificial Intelligence; Multimodal Emotion Analysis; Machine Learning

Abstract

Nowadays, Artificial Intelligence (AI) and Multimodal Emotion Analysis represent cutting-edge advancements in the realm of computational intelligence. AI, the emulation of human cognitive processes by machines, has revolutionized various fields, including emotion analysis. Multimodal Emotion Analysis refers to the integration of multiple sensory inputs, such as images, speech, and text, to understand and interpret human emotions comprehensively. As opposed to single-modal approaches, the multimodal approach provides a more comprehensive and precise analysis of affective states. By combining machine learning algorithms with sophisticated data processing techniques, AI systems can now recognize and analyze emotional cues from diverse modalities, providing deeper insights into human affective states. This interdisciplinary approach has significant implications across numerous domains, from human-computer interaction and social robotics to mental health diagnostics and marketing research. With the potential to enhance the understanding of human emotions and behaviors, AI-driven multimodal emotion analysis stands at the forefront of innovation, promising to reshape how people interact with technology and interpret human experiences.

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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TY  - CONF
AU  - Hongji Zhou
PY  - 2024
DA  - 2024/09/23
TI  - The Application of Artificial Intelligence-based Multimodal Emotion Analysis
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 285
EP  - 294
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_32
DO  - 10.2991/978-94-6463-512-6_32
ID  - Zhou2024
ER  -