Unified AI Interface for Heterogeneous Wearable Health Sensor Data
arXiv·low signal
Proposes a general-purpose AI interface that transforms raw physiological signals from diverse wearable sensors into actionable health insights. Addresses the fragmentation problem where each wearable ecosystem uses incompatible data formats and models. Could enable foundation-model approaches to personal health monitoring.