人在回路的跳伞动作训练自动控制系统：概念验证实验
An Automatic Control System with Human-in-the-Loop for Training Skydiving Maneuvers: Proof-of-Concept Experiment
摘要：
提出了一种实时跳伞运动训练系统。空中机动是通过改变身体姿势，从而偏转周围的气流来完成的。自然的学习过程是非常缓慢的，由于不熟悉的自由落体动力学，压力引起的动觉反馈的阻塞，以及所需动作的复杂性。其关键思想是用一个自动控制系统来增强学习者，如果它作为执行器直接存取学习者的身体，它就能够执行训练过的活动。辅助系统将提供以下视觉提示给学习者：1。当前身体姿势的反馈; 2.身体姿势，将使身体执行所需的机动; 3。如果物体保持其当前姿态，则预测未来的惯性位置和方向。该系统将使新手能够在自由落体中保持稳定，并感知不熟悉的环境动态，从而加速技能获取的初始阶段。本文介绍了一个概念验证实验的结果，即人类控制的虚拟跳伞自由落体在计算机模拟，通过他们的身体。这个任务是不可能的，没有辅助系统，使所有参与者能够在第一次尝试完成任务。
英文摘要：
A real-time motion training system for skydiving is proposed. Aerial maneuvers are performed by changing the body posture and thus deflecting the surrounding airflow. The natural learning process is extremely slow due to unfamiliar free-fall dynamics, stress induced blocking of kinesthetic feedback, and complexity of the required movements. The key idea is to augment the learner with an automatic control system that would be able to perform the trained activity if it had direct access to the learner's body as an actuator. The aiding system will supply the following visual cues to the learner: 1. Feedback of the current body posture; 2. The body posture that would bring the body to perform the desired maneuver; 3. Prediction of the future inertial position and orientation if the body retains its present posture. The system will enable novices to maintain stability in free-fall and perceive the unfamiliar environmental dynamics, thus accelerating the initial stages of skill acquisition. This paper presents results of a Proof-of-Concept experiment, whereby humans controlled a virtual skydiver free-falling in a computer simulation, by the means of their bodies. This task was impossible without the aiding system, enabling all participants to complete the task at the first attempt.
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。
