2 papers
cs.AI2026
Learning transferable human physiology from two million hours of sleep with SleepFM-2
Rahul Thapa, Christopher Sun, William Theodor Lehn-Schioler +14
Sleep provides a nightly window into health by capturing coordinated activity across the brain, heart, muscles and respiratory system. We introduce SleepFM-2, a sleep foundation mo…
eess.SP2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
Niels R. Lorenzen, Poul J. Jennum, Emmanuel Mignot +1
Wearable accelerometers are widely used for continuous monitoring of physical activity. Supervised machine learning and deep learning algorithms have long been used to extract mean…