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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| 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
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01931-8 |
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