LSM-2: Learning from incomplete wearable sensor data
Training and evaluation We leverage a dataset with 40 million hours of wearable data sampled from over 60,000 participants during the period from March to May 2024. The dataset was thoroughly anonymized or de-identified to ensure that participant information was removed and privacy was maintained. Subjects wore a variety of Fitbit and Google Pixel smartwatches and trackers and consented for their data to be used for research and development of new health and wellness products and services. The