Google Research· Research

SensorFM: Towards a general intelligence and interface for wearable health data

Xin Liu, Senior Research Scientist, and Daniel McDuff, Staff Research Scientist, Google Research We present SensorFM, a foundation model for wearable health pre-trained on more than one trillion minutes of sensor data from five million people. By co-scaling model size and data, SensorFM learns a general-purpose representation of human physiology that transfers to 35 health prediction tasks, supports label-efficient adaptation and data infilling, and can serve as a grounding tool for a Personal Health Agent. Quick links Paper Share Copy link × Estimates suggest that billions of wearable devices are now in use, precisely tracking heart rate, movement, skin temperature, blood-oxygen levels, and sleep across days, weeks, and months. This continuous, longitudinal stream of physiology and behavior provides one of the most promising raw materials for preventive, personalized health . Yet turning those low-level signals into meaningful insights remains hard. …

Announced

09 Jul 2026 09:56 UTC