djpetti/isl-gazecapture
Research into appearance-based gaze estimation on mobile devices.
This project provides a system for tracking where a user is looking on a mobile device screen. By analyzing images of a user's face and eyes captured by a front-facing camera, it outputs the estimated 2D gaze position. Researchers and developers working on eye-tracking applications for mobile devices would use this to build and test gaze estimation models.
No commits in the last 6 months.
Use this if you are a researcher or developer looking to train and validate a convolutional neural network (CNN) model for appearance-based gaze estimation on mobile devices.
Not ideal if you are a user looking for a ready-to-use mobile application for eye-tracking, as this project focuses on the underlying research and model development.
Stars
14
Forks
4
Language
Java
License
MIT
Category
Last pushed
Jan 31, 2019
Commits (30d)
0
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