REMoDNaV: Robust Eye Movement Detection for Natural Viewing

This repository contains the raw data, the code to generate summary statistics, and raw figures for the manuscript, and the manuscript sources for the publication REMoDNaV: Robust Eye Movement Detection for Natural Viewing.

Manuscript

To recompute results and compile the paper, do the following:

[Optional] create a virtual environment:

# create and enter a new virtual environment (optional)
virtualenv --python=python3 ~/env/remodnav
. ~/env/remodnav/bin/activate

• if you haven't yet, install remodnav, seaborn, and datalad. Depending on your operating system, datalad can be installed via pip install datalad or sudo apt-get install datalad (please check the docs if you are unsure which option is applicable to your system)

Install from PyPi:

# install from PyPi
pip install remodnav
pip install seaborn

• datalad install the repository with datalad install https://github.com/psychoinformatics-de/paper-remodnav.git

• Appropriate Makefiles within the directory will execute data retrieval via datalad (about 550MB in total), compute the results and figures from code/mk_figuresnstats.py, insert the results and rendered figures in the main.tex file, and render the PDF with a single call from the root of the directory: make

The full PDF will be main.pdf.

If you encounter failures, e.g. due to uninstalled python modules, restart make after running make clean. If you encounter failures you suspect are due to deficiencies in this repository, please submit an issue or a pull request. Please address issues on bugs or questions of other software to the software's specific home repository.