GazeRace：用眼动控制革新远程驾驶
GazeRace: Revolutionizing Remote Piloting with Eye-Gaze Control
AI总结：
本文提出GazeRace系统，利用MediaPipe库将眼动转化为无人机指令，实现直观的远程驾驶，测试表明其在保持相当速度的同时将轨迹长度减少18%，提高了控制精度并降低了用户挫败感。
摘要：
本文提出了GazeRace，一个利用眼动追踪技术实现直观无人机控制的全新系统。该系统使用MediaPipe库，将眼动转化为精确的无人机指令，从而实现有效的远程驾驶。在测试中，GazeRace在保持与传统控制方式相当的速度的同时，将无人机轨迹长度减少了了18%。结果表明，该方法提高了控制精度，降低了用户的挫败感，为人机交互和无人机导航领域的重大进步。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
