Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph files

asleep: a sleep classifier for wearable sensor data using machine learning

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

A demo/example pipeline for analysing wearables data using the RAP.

Extracting meaningful health information from large accelerometer datasets

A step-counting model based on self-supervised learning for wrist-worn accelerometer data.

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

Capture24: Human activity recognition with activity trackers

Instructions for pulling UK Biobank data using the DNAnexus RAP