GGIR
Raw Accelerometer Data Analysis
A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' < https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' < https://ametris.com/> devices, and binary (.cwa) and .csv-export data from 'Axivity' < https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Getting started:
The package documentation provides extensive documentation on GGIR and its functionalities.
Getting help:
For guidance on how to seek help see this page.
Contribution guidelines:
We always welcome contributions to the package. If you want to contribute to the development of GGIR, have a look at the contribution guidelines.
Images usaged
The copyright of the GGIR logo as contained in the file vignettes/GGIR-MASTERLOGO-RGB.png lies with Accelting (Almere, The Netherlands), please contact [email protected] to ask for permission to use this logo.
All other images in this repository are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.