Virtual reality human performance assessment

目前用于运动和康复中人类表现评估的专用系统使用专门的、昂贵的硬件和软件。这些硬件的相对难以获得和成本使得运动员或患者难以使用这些设备进行定期训练。总的来说，这对扩大业绩评估系统的用户基础提出了挑战。一个更深层次的问题是，传统的性能评估 ** 测试关注的是速度或准确性，但没有考虑到自然的速度-准确性权衡。该项目旨在评估一种新的，更实惠的基于VR硬件的性能评估系统。通过 ** 使用一个完善的基于吞吐量的衡量标准，同时考虑速度和准确性，** 结果将使运动员和患者的表现更好的比较。最后，将结果 ** 与眼动数据相关联将能够更好地指导运动训练。

Current dedicated systems for human performance assessment in sports and rehabilitation use specialized,**costly hardware and software. The relative inaccessibility and cost of such hardware makes it difficult for**athletes or patients to train regularly with such equipment. Overall, this poses challenges towards broadening**the user base for performance assessment systems. A deeper issue is that traditional performance assessment**tests focus either on speed or accuracy, but do not take the natural speed-accuracy trade-off into account. This**project aims to evaluate a new, more affordable system for performance assessment based on VR hardware. By**using a well-established throughput-based measure that takes both speed and accuracy into account, the**outcomes will enable better comparisons across athlete and patient performance. Finally, correlating results**with eye movement data will enable better guidance for sports training.