世界机器人大赛脑机接口控制机器人大赛在中国推广脑机接口

Bingchuan Liu, Xiaogang Chen, Yijun Wang, Xiaorong Gao
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引用次数: 1

摘要

1清华大学生物医学工程系,北京100084;2中国医学科学院生物医学工程研究所和北京协和医学院,天津300192;3中国科学院半导体研究所集成光电子国家重点实验室,北京100083,中国未来一年是维达尔1973年提出的脑机接口(BCI)首次发表50周年。在过去的几十年里,在设计和优化脑机接口系统方面取得了不断的进展,实现了高性能、稳健和易用的“读心术”。脑机接口这一新兴领域汇集了来自神经科学、计算机科学的科学家以及世界各地的工程师和临床医生,以解决这一极具挑战性的问题。学科的融合还引发了一系列国际知名的脑机接口竞赛,以加快创新,例如脑机接口I至IV竞赛和CYBATHLON竞赛。在中国,自新世纪初以来,脑机接口技术一直在快速发展,并迅速受到来自多个学科的研究人员的关注。为促进多学科学术交流,推动脑机接口技术走向实际应用,由清华大学主办、国家自然科学基金资助的首届和第二届中国脑机接口竞赛分别于2010年和2015年举行。除了脑机接口社区,脑机接口竞赛后来向公众、企业和行业开放,以促进利基脑机接口技术在中国的可用性和可及性。作为世界机器人大赛的一部分,这项名为“脑机接口控制机器人大赛”的比赛由清华大学和中国电子学会联合举办,从2017年至今,已连续六年举办。最近,该竞赛得到了脑机接口协会的认可并与之合作,该协会是脑机接口领域最权威的国际组织之一。自脑机接口控制机器人大赛开始以来,已有数以万计的选手参加了这届全国性的“脑机接口奥运会”。2021年,竞赛分为算法竞赛、项目竞赛、青年优秀论文奖和项目展示四个主要部分。具体来说,算法竞赛和项目竞赛旨在分别筛选出顶尖的算法和表现最好的科目。在2021年的算法竞赛中,有七条平行轨迹属于四种主要的脑机接口范式,即稳态视觉诱发电位脑机接口(SSVEP-BCI)、运动图像脑机接口
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Promoting brain–computer interface in China by BCI Controlled Robot Contest in World Robot Contest
1 Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China 2 Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China 3 State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China The year ahead marks the 50th anniversary of the first publication on the brain–computer interface (BCI) proposed by Vidal in 1973. Over the past decades, continuous progress has been made in designing and optimizing the BCI system toward a high-performance, robust and ease-of-use “mind reading”. The nascent field of BCI has brought together scientists from neuroscience, computer science as well as engineers and clinicians worldwide to address the highly challenging problem. The convergence of disciplines also initiated a series of internationally prestigious BCI competitions to expedite innovation, e.g., the BCI competition I to IV and the CYBATHLON. In China, since the beginning of the new century, the technology of BCI has been developing on a fast track and has received rapidly growing attention for researchers from multiple disciplines. To facilitate multi-disciplinary academic exchange and push the BCI technology toward practical application, the first and second China BCI Competitions were held in 2010 and 2015, respectively, which were organized by Tsinghua University and supported by the National Science Foundation of China (NSFC). Beyond the BCI community, the BCI competition was later opened to the general public as well as business and industry to promote the availability and accessibility of the niche BCI technology in China. As part of the World Robot Contest, this competition named BCI Controlled Robot Contest was held by a joint effort of Tsinghua University and China Electronics Society from 2017 till now, six years in a row. Very recently, the competition was endorsed by and partnered with The BCI Society, which is one of the most authoritative international organizations in the field of BCI. Since the inception of the BCI Controlled Robot Contest, tens of thousands of players have participated in this nationwide “BCI Olympic Games”. In 2021, the contest subsumed four main sections, including algorithm competition, project contest, youth outstanding paper award, and project exhibition. Specifically, the algorithm competition and project contest aimed to sift out the top-notch algorithms and the bestperformance subjects, respectively. For the algorithm competition in 2021, there were seven parallel tracks that fell into the category of four dominant BCI paradigms, i.e., steady-state visual evoked potential based BCI (SSVEP-BCI), motor imagery BCI (MI-BCI), rapid visual serial presentation based BCI (RSVP-BCI), and affective
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