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biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasetsactipy
Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph filesstepcount
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.Oxford_Wearables_Activity_Recognition
Notebooks for Oxford CDT Wearables Data Challengecapture24
Capture24: Human activity recognition with activity trackersasleep
asleep: a sleep classifier for wearable sensor data using machine learningrap_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 PCpyfew
A simple and light-weight feature extractor for wearable accelerometer data.actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.wearable-teaching
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