Jake Sunshine
Jake Sunshine has 2 papers in the ChatPPG research atlas (2024–2026), linked to 2 models and 44 co-authors in the atlas. Main topics: PPG, ACC, EDA, google, self-supervised, AIM.
Papers
- SensorFM: Toward a General Intelligence and Interface for Wearable Health Data2026 · arXiv preprint
Google's SensorFM is a wearable health foundation model pretrained on more than one trillion minutes of unlabelled sensor data from five million participants. Scaling model size and data together steadily improved results across 35 health prediction tasks in cardiovascular, metabolic, sleep and mental health, lifestyle and demographics.
- Published: arXiv preprint, 2026
- Pretraining: 1 trillion+ minutes of sensor data
- Cohort: 5 million participants
- Scaling Wearable Foundation Models (LSM)2024 · ICLR 2025
LSM (Large Sensor Model) is a Google study of how wearable foundation models scale with compute, data and model size. It used up to 40 million hours of per-minute heart rate, HRV, electrodermal activity, accelerometer, skin temperature and altimeter data from more than 165,000 people. The authors report scaling laws for imputation, interpolation and extrapolation, and show sample-efficient learning for exercise and activity recognition.
- Published: ICLR 2025
- Data: up to 40 million hours, 165,000+ people
- Signals: HR, HRV, EDA, accelerometer, skin temperature, altimeter