OpenMHC: Largest Open-Access Wearable Health Dataset and Foundation Models Released
Researchers have released OpenMHC, the largest open-access wearable health dataset to date, comprising over 60 million hours of data from 11,894 participants. The dataset features 19 sensor channels and up to 169 linked variables, and is accompanied by open-source implementations of wearable foundation models. OpenMHC also introduces a unified benchmark for health prediction, data imputation, and time-series forecasting tasks, supporting standardized evaluation of wearable health models.
Why it matters: This release provides the research community with unprecedented access to large-scale wearable health data and reproducible models, enabling significant advances in health monitoring and AI-driven health applications.
Full story at: arXiv Machine Learning ↗