SensorFM uses a foundation model approach to interpret complex time-series data from wearable devices. This framework treats physiological signals as a language, enabling better cross-device generalization. Researchers at Google aim to standardize how AI processes heart rates and sleep patterns. It simplifies the pipeline for developers building personalized health monitoring tools.