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GGIR standard training

Course description

What will you learn:

  • Origin and vision behind GGIR
  • How to use GGIR and configure it to your research needs
  • How to check your data quality with GGIR
  • Ways to quantify body acceleration with GGIR
  • Taking study protocol into account with GGIR, e.g. accelerometer sent to participant by mail and worn on the wrist.
  • Physical activity assessment with GGIR, e.g. time spent in (bouts of) acceleration levels.
  • Sleep analysis with GGIR
  • How to interpret the GGIR output
  • How to resolve problems or get answers to questions

For who:

  • Anyone interested in using GGIR to process wearable accelerometer data.
  • Basic R knowledge are advisable. If you have used R before please check whether your knowledge is sufficient by going through our short R tutorial (approximately 15 minutes). If you have never used R before we advise you to book a seat on our R essentials when working with GGIR course.

Course structure:

  • Day 1:
    • Introduction
    • GGIR parts 1 and 2 (incl. data quality and basic behaviour description)
    • Exercise & Questions
  • Day 2:
    • Review day 1
    • GGIR parts 3 and 4 (incl. sleep analysis)
    • Exercise & Questions
  • Day 3:
    • Review day 2
    • GGIR part 5 (variables for time-use analysis)
    • Break-out rooms to discuss use-cases
    • Questions
    • Plenary course review


  • A computer (macOS, Windows, Linux) with at least 5GB space to store files and process data. We are not using cloud services because we think it is important that you directly familiarise yourself with using GGIR on your own computer.
  • Installed version of R and RStudio.
  • A computer with working camera. We may ask you to turn on your camera to proof that you are attending the session alone.

Suggestions (not required):

  • Working with two screens can be beneficial to follow the course on one screen and to try out GGIR on the other screen.
  • Although we will provide example data, it can be helpful to also prepare a sample of your own research data.
  • Reserve 1-2 hours ahead of each session for doing homework in your own time.


The payment process is explained in the GGIR training overview page.


Do you have questions about the training or the booking process? Do not hesitate to contact us via:


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Course description