2022年世界机器人大赛脑机接口控制机器人竞赛获胜算法:脑机接口-图灵测试

Hangjie Yi, Dongjun Liu, Xuanyu Jin, Han-mei Zhang, Wanzeng Kong
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引用次数: 0

摘要

图灵测试是一种测试机器是否具有人类智能的方法。在2022年世界机器人大赛的脑机接口控制机器人竞赛中,提出了一种新的脑机界面图灵测试方法。参赛者开发了算法,可以区分指令是否由人类发出。参与者与基于脑电图的脑机接口合作,在虚拟场景中玩足球游戏。参与者被要求执行稳态视觉诱发电位(SSVEP)任务或运动图像(MI)任务来控制机器人,或处于空闲状态以模仿代表参与者发出指令的系统。基于空闲状态是多类分类问题中的一个类别的概念,开发了本次竞赛中提出的几种算法。本文详细介绍了决赛中表现最好的前五支队伍的算法,列出了MI和SSVEP的流行分类模型和算法,并讨论了每种方法在提高分类性能和减少计算时间方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Winning algorithms in BCI Controlled Robot Contest in World Robot Contest 2022: BCI Turing Test
The Turing Test is a method of testing whether a machine has human intelligence. A novel brain–computer interface (BCI) Turing Test was proposed in the BCI Controlled Robot Contest in World Robot Contest 2022. Contestants developed algorithms that can distinguish if an instruction is issued by a human. Participants collaborated with an electroencephalogram-based BCI to play a soccer game in a virtual scenario. Participants were asked to perform steady-state visual evoked potential (SSVEP) tasks or motor imagery (MI) tasks to control the robots or be in an idle state to mimic the system giving instructions on behalf of the participants. Several algorithms proposed in this competition are developed based on the concept that the idle state is a category in multiclass classification problems. This paper details the algorithms of the top five teams with the best performance in the final, lists the popular classification models and algorithms for MI and SSVEP, and discusses the effectiveness of each approach in improving classification performance and reducing the computation time.
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