EMVAS: end-to-end multimodal emotion visualization analysis system

EMVAS: end-to-end multimodal emotion visualization analysis system

Abstract Accurately interpreting human emotions is crucial for enhancing human–machine interactions in applications such as driver monitoring, adaptive learning, and smart environments. Conventional unimodal systems fail to capture the complex interplay of emotional cues in dynamic settings. To addr...

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Bibliographic Details
Main Authors: Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Complex & Intelligent Systems
Subjects:
End-to-end
Multimodal
Emotion analysis
Visualization system
Online Access:https://doi.org/10.1007/s40747-025-01931-8
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https://doi.org/10.1007/s40747-025-01931-8

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