stevenshci/PupilSense

Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".

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This project helps researchers analyze pupillary responses by segmenting eye images collected from smartphones to precisely identify the pupil and iris. It takes raw eye images and outputs detailed segmentations of the pupil and iris, which can then be used to study behavior. This tool is designed for researchers in behavioral science, human-computer interaction, and medical imaging who need to analyze eye movements in naturalistic settings.

No commits in the last 6 months.

Use this if you are a researcher needing to accurately segment pupil and iris regions from smartphone-captured eye images for behavioral analysis or depression detection studies.

Not ideal if you are looking for a complete, out-of-the-box solution for depression detection, as this project focuses specifically on the pupillometry system and data analysis.

behavioral-science pupillometry mobile-health-research human-computer-interaction psychological-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 14 / 25

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66

Forks

9

Language

Python

License

MIT

Last pushed

Feb 26, 2025

Commits (30d)

0

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