Open Source and Affordable, Virtual Reality Eye Tracking Platform.
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Updated
Jun 1, 2024 - Python
Open Source and Affordable, Virtual Reality Eye Tracking Platform.
The Don’t Blink Game is an intelligent android-based game using computer vision. The game logic is integrated into the app, where the player with the longest time keeping their eyes open is deemed the winner
TypeSight: The Typing Test with Realtime Eye Tracking
R package to import eye tracking recording generated by SR Research Eyelink eye tracker from EDF-files. It includes options to import events and/or recorded samples and extract individual events such as saccades, fixatoins, blinks, and recorded variables.
Gazeplay is a free and open-source software which gathers several mini-games playable with an eye-tracker. Last version includes almost 60 games. Gazeplay est un logiciel libre et gratuit qui rassemble plusieurs mini-jeux jouables grâce à un occulomètre (Eye-tracker). La dernière version compte près de 60 jeux.
Matlab and PsychToolbox interface to Tobii eye trackers using Tobii Pro SDK
[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
BIDS app using deepMReye to decode eye motion for fMRI time series data.
Unified, flexible and extensible visual toolkit for eye tracking data analysis
In this repository we keep the code for the implementation of the eye-tracking experiment for the COST action MultiplEYE. The eye-tracking-while-reading experiment is implemented using Python.
eye tracking project with python (openCV and dlib)
A python package for processing eye movement data
Pipeline for labeling, tracking, and measuring eyelid pressure measured from mechanochromic lens to assist the diagnosis of dry eye syndrome (DES)
Pranav's code contribution during his internship at ARL-W. Includes gaze-based object detection GUI and screen tracking script.
OptiKey - Full computer control and speech with your eyes
GazePlotter is a Svelte application for visualizing eye-tracking data. It automatically transforms eye gaze data to interactive scarf plots.
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
Eye tracking model to track the user's eye pupil for the attnetion purpose and futher calculate its attention span
"The Eye Of The Typer" dataset processing in Python
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