Google 7/9 SensorFM: foundation model trained on 1T+ minutes of wearable sensor data from 5M people

Google Research on 2026-07-09 published SensorFM (Xin Liu + Daniel McDuff): a foundation model for wearable health pre-trained on more than 1 trillion minutes of sensor signal from ~5 million consented people (100+ countries, all 50 US states, 20+ Fitbit and Pixel Watch models; data window 2024-09 → 2025-09); 5 sensor types + 34 one-minute aggregate features. Scaling curve spans 4 orders of magnitude. Largest variant (SensorFM-B): 31% lower reconstruction loss, +9% avg AUC, +21% Pearson, wins on 33 of 35 transfer tasks. Personal Health Agent evaluation: 31 participant profiles, 1,860 clinician ratings.