Novak Domen, Sigrist Roland, Gerig Nicolas J, Wyss Dario, Bauer René, Götz Ulrich, Riener Robert
Sensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Department of Electrical and Computer Engineering, University of Wyoming, Laramie, WY, United States.
Front Neurosci. 2018 Jan 11;11:756. doi: 10.3389/fnins.2017.00756. eCollection 2017.
This paper presents a new approach to benchmarking brain-computer interfaces (BCIs) outside the lab. A computer game was created that mimics a real-world application of assistive BCIs, with the main outcome metric being the time needed to complete the game. This approach was used at the Cybathlon 2016, a competition for people with disabilities who use assistive technology to achieve tasks. The paper summarizes the technical challenges of BCIs, describes the design of the benchmarking game, then describes the rules for acceptable hardware, software and inclusion of human pilots in the BCI competition at the Cybathlon. The 11 participating teams, their approaches, and their results at the Cybathlon are presented. Though the benchmarking procedure has some limitations (for instance, we were unable to identify any factors that clearly contribute to BCI performance), it can be successfully used to analyze BCI performance in realistic, less structured conditions. In the future, the parameters of the benchmarking game could be modified to better mimic different applications (e.g., the need to use some commands more frequently than others). Furthermore, the Cybathlon has the potential to showcase such devices to the general public.
本文提出了一种在实验室外对脑机接口(BCI)进行基准测试的新方法。创建了一款电脑游戏,该游戏模拟了辅助BCI在现实世界中的应用,主要成果指标是完成游戏所需的时间。这种方法在2016年国际辅助技术赛(Cybathlon)中得到应用,该赛事是面向使用辅助技术完成任务的残疾人的竞赛。本文总结了BCI的技术挑战,描述了基准测试游戏的设计,接着阐述了在国际辅助技术赛的BCI竞赛中,对可接受的硬件、软件以及纳入人类操控者的相关规则。介绍了11个参赛团队、他们的方法以及在国际辅助技术赛中的结果。尽管基准测试程序存在一些局限性(例如,我们无法确定任何明显影响BCI性能的因素),但它可成功用于分析在现实的、结构较松散的条件下BCI的性能。未来,可修改基准测试游戏的参数,以更好地模拟不同应用(例如,某些命令比其他命令需要更频繁使用的情况)。此外,国际辅助技术赛有潜力向公众展示此类设备。