A package to identify gaze behavior from mobile eye-tracking data.
Project description
EyeDentify3D: A Python package for gaze behavior classification of mobile eye-tracking data
Installation
The easiest way to install EyeDentify3D is to use pip:
pip install eyedentify3d
If you prefer to install from source, you can clone the repository and create a conda environment with the required dependencies:
conda env create -f environment.yml
Documentation
you can find the paper accompanying our JOSS submission here and a deeper documentation of the package features and underlying mathematical choices here.
Examples
Examples of usage can be found in the examples directory.
Citation
If you use EyeDentify3D in your research, please cite the following paper:
@article{Charbonneau2025EyeDentify3D,
title={EyeDentify3D: A Python package for gaze behavior classification of mobile eye-tracking data},
author={Charbonneau, Eve and Romeas, Thomas and Trempe, Maxime},
journal={Submitted to Journal of Open Source Software},
}
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