Recent Advances in Multimodal Deep Learning for Stress Prediction: Toward Cycle-Aware and Gender-Sensitive Health Analytics
Stress anticipation is increasingly becoming a key focus in well-being analytics, as encouraged by the surge of wearable and mobile sensing devices. Deep learning models support interpreting complex physiological and behavioral stress-related patterns, more objectively than traditional self-assessme...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
EDP Sciences
2025-01-01
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| シリーズ: | EPJ Web of Conferences |
| オンライン･アクセス: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/26/epjconf_icatcict2025_01059.pdf |
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