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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Updated
May 14, 2024 - Python
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
A deep convolutional neural network implementation for tracking eye movements in videos
The project involves developing a method for robust, real-time pupil detection using computer vision techniques in OpenCV and Python, focusing on increasing accuracy and detection speed by reducing false edges from eyelids, eyelashes, and hair, and is suitable for integration into embedded architectures.
The Pupil Detection AI ML program is used to get the co-ordinates of eyes and detect the pupil region. It only works with human face images.
Official implementation of a free pupillometry platform called PupilEXT proposed in the article "PupilEXT: flexible open-source platform for high resolution pupillometry in vision research".
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
Python pupil detection in human eye images project for the Computer Image Processing course of the university of the republic UDELAR.
React PD-Meter App (measures distance between pupils) with MediaPipe Face Mesh - internship project (2023)
Daugman's algorithm for Iris detection
Java port for Pixel Intensity Comparison-based Object detection
Pupil Tracking (Ganzin Technology, Inc)
ML Based Proctoring System using various python libraries and modules
Robust video-based eye tracking using recursive estimation of pupil characteristics
This repository contains a robust pupil tracking algorithm that incorporates RANSAC for better outlier rejection during extreme eye blink artifacts
Tracking gaze in Virtual Reality headsets.
Fast face detection, pupil detection and landmarks for Android without dependencies.
• This program calculates the attention span of students in online classrooms based on gaze tracking. • Input data from webcam - which after processing into text data using OpenCV & Pupil Detection - is fed into a simple neural network. • Pupil tracking was done using the Tensorflow Object Detection API. • 10 other features were also extracted w…
A keras port of swook/GazeML for pupil, iris and eye-lid detection
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