GazeRace: Revolutionizing Remote Piloting with Eye-Gaze Control
Issatay Tokmurziyev, Valerii Serpiva, Alexey Fedoseev, Miguel, Altamirano Cabrera, Dzmitry Tsetserukou

TL;DR
GazeRace introduces an eye-gaze control system for drones that improves navigation accuracy and reduces trajectory length, demonstrating potential for more intuitive remote piloting.
Contribution
The paper presents GazeRace, a novel eye-tracking based drone control system that enhances remote piloting by translating eye movements into commands.
Findings
18% reduction in drone trajectory length
Maintains competitive speed with traditional controls
Enhances control accuracy and reduces user frustration
Abstract
This paper presents GazeRace, a novel system that leverages eye-tracking technology for intuitive drone control. Using the MediaPipe library, the system translates eye movements into precise drone commands, enabling effective remote piloting. In testing, GazeRace demonstrated an 18% reduction in drone trajectory length while maintaining competitive speed with traditional controls. The results suggest that this approach enhances control accuracy and reduces user frustration, offering a significant advancement in the field of human-computer interaction and drone navigation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGaze Tracking and Assistive Technology · Teleoperation and Haptic Systems · Robotics and Automated Systems
