基于手持运动控制器的直观无人机操作研究
Towards Intuitive Drone Operation Using a Handheld Motion Controller
AI总结：
该研究提出一种基于手势的手持运动控制器系统，通过手、拇指和食指动作自然控制无人机，采用ExpressLRS协议确保连接稳定，用户评估显示实用和享乐质量得分高，提升了人机-无人机交互体验。
摘要：
我们提出了一种直观的人机-无人机交互系统，该系统利用基于手势的运动控制器，在真实和模拟环境中提升无人机操作体验。手持运动控制器通过操作员的手、拇指和食指的动作实现对无人机的自然控制：按下扳机键管理油门，手部倾斜调整俯仰和横滚，拇指摇杆控制偏航旋转。通过ExpressLRS无线电协议实现与无人机的通信，确保在各种频率下的稳定连接。使用UEQ-S调查对设计的无人机控制器进行飞行体验用户评估，结果显示实用质量（均值=2.2，标准差=0.8）和享乐质量（均值=2.3，标准差=0.9）均获得高分。这种多功能控制界面支持研究、无人机竞速和真实与模拟环境中的训练项目等应用，为人类-无人机交互领域的发展做出贡献。
英文摘要：
We present an intuitive human-drone interaction system that utilizes a gesture-based motion controller to enhance the drone operation experience in real and simulated environments. The handheld motion controller enables natural control of the drone through the movements of the operator's hand, thumb, and index finger: the trigger press manages the throttle, the tilt of the hand adjusts pitch and roll, and the thumbstick controls yaw rotation. Communication with drones is facilitated via the ExpressLRS radio protocol, ensuring robust connectivity across various frequencies. The user evaluation of the flight experience with the designed drone controller using the UEQ-S survey showed high scores for both Pragmatic (mean=2.2, SD = 0.8) and Hedonic (mean=2.3, SD = 0.9) Qualities. This versatile control interface supports applications such as research, drone racing, and training programs in real and simulated environments, thereby contributing to advances in the field of human-drone interaction.
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。
