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Updated: May 16, 2025

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

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运动VR:在虚拟现实中研究运动控制和学习的开源工具

Cristina Rossi^1,2, Rini Varghese^1,2, Amy J Bastian^1,2

¹Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, 3 USA.

|May 9, 2025

概括

MovementVR是一个新的开源平台,简化了虚拟现实 (VR) 运动学习研究. 它可以在没有编码的情况下创建现实的VR,实现任务,提高研究和康复的可访问性.

科学领域:

神经科学是一个神经科学.
计算机科学计算机科学
康复科学康复科学康复科学

背景情况:

虚拟现实 (VR) 通过沉浸式环境和精确的运动跟踪,提高了运动控制研究的生态有效性.
设计复杂的VR运动任务需要先进的编程,这限制了研究人员和临床医生的可访问性.
现有的平台往往需要编码专业知识,造成进入障碍.

研究的目的:

介绍MovementVR,一个开源平台,用于创建可定制的,自然的VR达到任务.
消除在设计VR电机实验时需要编码专业知识的需要.
提高VR的可访问性和可负担性,用于运动控制和学习研究.

主要方法:

开发了一个开源平台,MovementVR,具有图形用户界面 (GUI).
集成基于物理的手对象交互和实时手跟踪.
支持灵活的实验范式,包括运动适应和强化学习.

主要成果:

移动VR可以创建现实的VR,在没有编程的情况下完成任务.
该平台提供广泛的定制,同时保持生态有效性.
与消费级VR耳机的兼容性降低了财务障碍.

结论:

MovementVR显著降低了基于VR的运动研究和康复的技术和财务障碍.
该平台有助于更广泛地采用沉浸式技术来研究运动.
运动VR使研究人员和临床医生能够更有效地设计和实施复杂的VR任务.

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