https://github.com/pupil-labs/gallery_demo_analysis
Hosting a notebook for analysing mobile eye tracking data, collected in an art gallery
https://github.com/pupil-labs/gallery_demo_analysis
Last synced: about 2 months ago
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Hosting a notebook for analysing mobile eye tracking data, collected in an art gallery
- Host: GitHub
- URL: https://github.com/pupil-labs/gallery_demo_analysis
- Owner: pupil-labs
- Created: 2022-02-01T10:07:11.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-07-21T16:34:50.000Z (almost 3 years ago)
- Last Synced: 2025-01-16T00:18:09.765Z (3 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 28.1 MB
- Stars: 0
- Watchers: 5
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Analysing Areas of Interest with Pupil Invisible and the Reference Image Mapper
This repository contains jupyter notebooks with code examples how to load, display, define and aggregate Areas of Interest
and fixations inside them.
The notebooks work with eye-tracking data recorded with the [pupil invisible][invisible_link], and preprocessed in
[pupil cloud][cloud_link]. The data for all these notebooks can be found in this [Demo Workspace][workspace_link].
A high level overview of the notebook content can be found in this [blog post][blog_link_analysis].
The material here is intended as a starting point to learn more about analyzing gaze data inside
Areas of Interest.
[invisible_link]: https://pupil-labs.com/products/invisible/
[cloud_link]: https://pupil-labs.com/products/cloud/
[workspace_link]: https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/
[blog_link_analysis]: https://pupil-labs.com/blog/news/demo-workspace-walkthrough-part2/