Article

SeGA-GNN: Semantically Gated Augmented Graph Neural Networks for Wearable-Based Emotion Detection

2026-06-01

Abstract excerpt

<h4>Background</h4> Wearable technologies enable scalable and continuous monitoring of emotional states through passive sensing of physiological and behavioral signals. However, conventional learning approaches often struggle to model the complex temporal, contextual, and relational dependencies underlying human emotions. To address these limitations, we propose a graph-based framework that represents multimodal...

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Literature Corpus work: 8ad7c60a-13df-5e72-9803-2b7c5b34d7f2
DOI: 10.64898/2026.05.29.26354434

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