2024/07/12 by Tokmurziyev, Issatay, Serpiva, Valerii, Fedoseev, Alexey +2
#FOS: Computer and information sciences #Robotics (cs.RO)
paper · doi:10.48550/arxiv.2407.09459
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.