MovementVR:一个开源工具,用于研究虚拟现实中的运动控制和学习。

ArXiv Pub Date : 2025-04-30
Cristina Rossi, Rini Varghese, Amy J Bastian
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引用次数: 0

摘要

虚拟现实(VR)通过提供具有精确运动跟踪的沉浸式交互式环境,越来越多地用于增强运动控制和学习研究的生态有效性。然而,设计现实的基于vr的运动任务仍然很复杂,需要高级编程技能,并且限制了研究和临床环境的可及性。MovementVR是一个开源平台,旨在通过在VR中创建可定制的、自然的到达任务来解决这些挑战,而无需编码专业知识。它集成了基于物理的手-物体交互,实时手部跟踪和灵活的实验范例,包括运动适应和强化学习。直观的图形用户界面(GUI)允许研究者自定义任务参数和范式结构。与现有平台不同,MovementVR消除了对脚本的需求,同时支持广泛的定制,并保留了生态有效性和现实性。除了降低技术壁垒,MovementVR还通过与消费级VR头显兼容来降低财务限制。它是免费提供的,有全面的文件,促进运动研究和康复更广泛的采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MovementVR: An open-source tool for the study of motor control and learning in virtual reality.

Virtual reality (VR) is increasingly used to enhance the ecological validity of motor control and learning studies by providing immersive, interactive environments with precise motion tracking. However, designing realistic VR-based motor tasks remains complex, requiring advanced programming skills and limiting accessibility in research and clinical settings. MovementVR is an open-source platform designed to address these challenges by enabling the creation of customizable, naturalistic reaching tasks in VR without coding expertise. It integrates physics-based hand-object interactions, real-time hand tracking, and flexible experimental paradigms, including motor adaptation and reinforcement learning. The intuitive graphical user interface (GUI) allows researchers to customize task parameters and paradigm structure. Unlike existing platforms, MovementVR eliminates the need for scripting while supporting extensive customization and preserving ecological validity and realism. In addition to reducing technical barriers, MovementVR lowers financial constraints by being compatible with consumer-grade VR headsets. It is freely available with comprehensive documentation, facilitating broader adoption in movement research and rehabilitation.

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