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- Extracting meaningful health information from large accelerometer datasets
stepcount
PublicA step-counting model based on self-supervised learning for wrist-worn accelerometer data.actipy
PublicPython Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph filesssl-wearables
PublicSelf-supervised learning for wearables using the UK-Biobank (>700,000 person-days)epidemiology_nhanes
PublicRMLHDS
Publiclabel_hub
Publicpd_walking
Publicasleep
Publicasleep: a sleep classifier for wearable sensor data using machine learningrap_wearables
Publicactinet
PublicAn activity classification model based on self-supervised learning for wrist-worn accelerometer data.capture24
PublicUKB_steps_mortality
Publicssl-ukb
Publicwearable-teaching
PublicrepeatedMeasurements
Publicepicoda
Publicpyinclusion
PublicSubject inclusion flowchartpyfew
PublicA simple and light-weight feature extractor for wearable accelerometer data.python-uos-activpal
Public