AINeutralarXiv – CS AI · 4h ago6/10
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Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection
Researchers propose a lightweight retrieval-augmented personalization method for wearable-based stress detection that uses frozen foundation models to retrieve similar patterns from a user's history, achieving 3.92% accuracy gains over non-personalized baselines without requiring labeled data. The approach demonstrates that personalized AI models for health monitoring can be built efficiently by leveraging historical user data rather than expensive fine-tuning, with performance remaining robust even with limited user history.