Name: Wearable Accelerometer Data Processing And Classification
Type: Organization
Bio: Software projects related to the analyses of data collected with wearable accelerometers.
Twitter: Accelting
Location: Netherlands
Blog: https://accelting.com/
Wearable Accelerometer Data Processing And Classification's Projects
Python tool to process Axivity, GENEActiv, and Actigraph files
Barcode mapping function from Xinhui Wang for 2019 paper doi: 10.1249/MSS.0000000000001849
Code from published papers
Code corresponding to R package GGIR
Functions for reading accelerometer data files
Behaviour detection in wearable movement sensor data
R package to aid with LIDS analysis
A deep learning tool for time series classification
Scripts for processing accelerometer data from Millenium cohort study
Code base for deriving movement sequences from accelerometer (Actigraph) data and mapping them to symbolic classes, as originally described in: https://doi.org/10.1249/mss.0000000000001849
Agenda and Notes for Webinar Series for OSS developers in physical behavior research field
Functions to generate patient-oriented reports from GGIR output
Code to aid profiling GGIR
R-package for reading Actigraph's binary activity data
Hierarchical classification module based on scikit-learn's interfaces
Pipeline for processing data from sleepsight wearables
Classification of sleep stages using accelerometer data
Testing Routine for GGIR
Tools and utilities to analyse Verisense data
Code for processing the accelerometer data from the Whitehall Study II