A python package for processing eye movement data
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Updated
May 17, 2024 - Python
A python package for processing eye movement data
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.
GazePlotter is a Svelte application for visualizing eye-tracking data. It automatically transforms eye gaze data to interactive scarf plots.
Matlab and PsychToolbox interface to Tobii eye trackers using Tobii Pro SDK
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".
Open Source and Affordable, Virtual Reality Eye Tracking Platform.
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.
Eye tracking model to track the user's eye pupil for the attnetion purpose and futher calculate its attention span
Pranav's code contribution during his internship at ARL-W. Includes gaze-based object detection GUI and screen tracking script.
"The Eye Of The Typer" dataset processing in Python
OptiKey - Full computer control and speech with your eyes
Demo project using TensorFlow.js for detection & tracking of eye movement through webcam in browser.
Pipeline for labeling, tracking, and measuring eyelid pressure measured from mechanochromic lens to assist the diagnosis of dry eye syndrome (DES)
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.
Gain access to advanced eye tracking data and camera images for the Pimax Crystal or HP Reverb G2 Omnicept Eye Tracker.
Pimax Crystal Advanced Eye Tracking Module for VRCFaceTracking
BIDS app using deepMReye to decode eye motion for fMRI time series data.
Scripts for pre-processing eye-tracker data from pupil cloud
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