UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
In recent years, emotion recognition based on physiological signals such as electroencephalogram (EEG) has gained considerable attention, as internal physiological data offer greater objectivity and reliability compared to external behavioral data like facial expressions. However, due to distribution shifts caused by individual and contextual differences, along with variations in sample quality across modalities, constructing a cross-domain multimodal emotion recognition model with high generali
Record details
Published: 29 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (29 May 2026), “UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment,” evidence record 3432, https://ethics.ai/record/3432 (originally published by arXiv).
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