TL;DR
This paper introduces a novel application of Cycle-GANs for eye-tracking, demonstrating how generative adversarial networks can be adapted for this specific task.
Contribution
It presents a unique implementation of Cycle-GANs tailored for eye-tracking, which is a new approach in this domain.
Findings
Effective generation of eye-tracking data
Improved accuracy over baseline methods
Potential for real-time application
Abstract
This manuscript presents a not typical implementation of the cycle generative adversarial networks (Cycle-GAN) method for eye-tracking tasks.
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Taxonomy
TopicsGaze Tracking and Assistive Technology · Hand Gesture Recognition Systems · Face recognition and analysis