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.
@article{arxiv.2407.09459,
title = {GazeRace: Revolutionizing Remote Piloting with Eye-Gaze Control},
author = {Issatay Tokmurziyev and Valerii Serpiva and Alexey Fedoseev and Miguel Altamirano Cabrera and Dzmitry Tsetserukou},
journal= {arXiv preprint arXiv:2407.09459},
year = {2024}
}
Comments
Accepted in: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024)