OpenMHC releases 60 million hours of wearable health data for foundation models
iScienceLuvr · x · 2026-07-21
Researchers released OpenMyHeartCounts (OpenMHC), described as the largest and most comprehensive open-access wearable health dataset to date.
- The dataset contains more than 60 million hours of wearable data.
- It spans 19 sensor channels, including step count, heart rate, sleep, and workouts.
- It includes up to 169 linked variables covering health, lifestyle, mood, and behavior.
- The data comes from 11,894 consenting participants.
- The paper also introduces a unified open benchmark for comparing wearable health models across downstream prediction, multivariate imputation, and time-series forecasting.
- The goal is to standardize evaluation and accelerate open research in wearable foundation models.
Related event: OpenMHC Releases 60M-Hour Wearable Health Dataset(2 posts)→
More from Research
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- VidMap uses RoMa coarse matching on all frames, fine-scale only for keyframes — ducha_aiki · 2026-09-11
- Bug Hunt Bench author: leaderboard noise is about 2-3 points — PawelHuryn · 2026-09-11
- PNAS paper shows a tiny billiard-ball system is a universal computer — undecidability lives in two dimensions — eigensteve · 2026-09-11
- New paper: Absolute pose estimation from affine cues and gravity direction — ducha_aiki · 2026-09-11
- LoMa Paper Ships REALLY HardPairs Dataset, Accepted at ECCV 2026 — ducha_aiki · 2026-09-11