Pupil Tracking (Ganzin Technology, Inc)
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Updated
Oct 27, 2022 - Python
Pupil Tracking (Ganzin Technology, Inc)
This is the eye tracking code which is simple and easy to use
Java port for Pixel Intensity Comparison-based Object detection
Webcam Face Detector
Python pupil detection in human eye images project for the Computer Image Processing course of the university of the republic UDELAR.
A method for segmentation and measurement of mouse pupil from video sequences.
Daugman's algorithm for Iris detection
ML Based Proctoring System using various python libraries and modules
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.
This repo contains implementation of CNN based regression network for Pupil Center Estimation in smartphones
• 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…
Tracking gaze in Virtual Reality headsets.
A deep convolutional neural network implementation for tracking eye movements in videos
Fast face detection, pupil detection and landmarks for Android without dependencies.
Open source implementation of the PuRe pupil detector.
React PD-Meter App (measures distance between pupils) with MediaPipe Face Mesh - internship project (2023)
This repository contains a robust pupil tracking algorithm that incorporates RANSAC for better outlier rejection during extreme eye blink artifacts
Official implementation of the affective mobile sensing system called FacePsy proposed in the article "FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings".
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