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Previously, I introduced the processing of EyeLink eye tracker data using MNE-Python, which can be referenced at the link:
Eye Movement Analysis MNE-Python Series Tutorial 2: Drawing Eye Movement Tracking HeatmapsIn this article, I will introduce the eye movement data analysis toolkit PupEyes, developed and shared on GitHub by Han Zhang (personal CV: https://hanzhang.cv/).PupEyes is a Python toolkit for preprocessing and visualizing eye movement data.It handles pupil size preprocessing and supports interactive visualization of pupil size and fixation data. It supports Eyelink and Tobii data, as well as any general eye tracking dataset that meets minimum format requirements.PupEyes implements various interactive visualizations using Plotly Dash. For example:Pupil data visualization: Check pupil preprocessing steps;Fixation visualization: Visualize fixation patterns;Area of Interest (AOI) drawing tool: Flexibly define interest areas.Installation method:It is recommended to create a separate environment using Anaconda, then activate the environment and run the following code:
pip install pupeyes
The official website tutorial is very detailed, and you can try running it.When marking data markers, pay attention to the requirements for start and end.1. Import Eyelink eye movement data:https://pupeyes.readthedocs.io/en/latest/read_data.html
2. Pupil preprocessing:https://pupeyes.readthedocs.io/en/latest/pupil_preproc.html
3. Pupil data statistical analysis:https://pupeyes.readthedocs.io/en/latest/pupil_stats.html
4. Fixation pattern visualization:https://pupeyes.readthedocs.io/en/latest/fixation_viewer.html
5. Drawing areas of interest:https://pupeyes.readthedocs.io/en/latest/aoi_analysis.html
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