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biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasetsssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)actipy
Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph filesOxford_Wearables_Activity_Recognition
Notebooks for Oxford CDT Wearables Data Challengeasleep
asleep: a sleep classifier for wearable sensor data using machine learningstepcount
A step-counting model based on self-supervised learning for wrist-worn accelerometer data.ukb_download_and_prep_template
This repository facilitates common data pre-processing steps when working with UK Biobank data.capture24
Capture24: Human activity recognition with activity trackersrap_wearables
A demo/example pipeline for analysing wearables data using the RAP.epicoda
Supports epidemiological analyses using compositional exposure variablesoxford-wearable-camera-browser
Browse and annotate wearable camera images in health studiesUKB_steps_mortality
This repository holds the statistical analysis code for the association of steps and mortality in the UK BiobankRMLHDS
capture24_neurips
Capture24: Activity recognition on a large activity tracker dataset collected in the wildwearable-camera-desktop-browser
Analysing wearable camera on a standalone PCwearable-teaching
pyfew
A simple and light-weight feature extractor for wearable accelerometer data.manuscript_ml_behaviours_cvd_2021
pd_walking
Detect walking in the PD populationLove Open Source and this site? Check out how you can help us