MultiplEYE Preprocessing pEYEpline#
How to prepare before running your first preprocessing.
Start your endeavour here!
If you are interested in the details of the preprocessing pipeline, this section is for you.
The preprocessing pipeline for the MultiplEYE corpus by Jakobi et al. [JSSH+25]. This website documents the current state of the preprocessing pipeline, which is still under development. This pipeline is designed to process the raw eye-tracking data and psychometric test data collected in the MultiplEYE project, transforming it into a standardized format suitable for analysis and sharing with the research community.
The pipeline is built in Python and its core functionalities rely on the pymovements library,
which provides tools for processing eye-tracking data.
See pymovements website.
Setup and use#
To use the preprocessing pipeline, please follow the instructions in the Getting Started section. This section will guide you through the setup of the pipeline, including how to install dependencies and run the preprocessing on your data collection.
How to cite#
If you use this preprocessing pipeline, or parts of it in your research,
please cite the pipeline as specified in Jakobi et al. [JSauberliH+26].
You can also find citation information for this project in the CITATION.cff
file in the repository and cite it accordingly.
Acknowledgments#
This project has been partially funded by:
MultiplEYE COST Action, CA21131
Swiss National Science Foundation (SNSF), 212276 (MeRID)
swissuniversities, OpenEye