Generative AI-powered multimodal physiological sensors for personalized edge health monitoring
This study focuses on personalized edge inference for multi-source physiological time-series signals instead of imaging data. The main contribution is a lightweight model for personalized, calibrated prediction that integrates a generative prior and flexible latent structures for denoising and imputation for short segm...