BCI-Net 2022: The Database of BCI Controlled Robot Contest in World Robot Contest 2022

The brain-computer interface (BCI) is a rapidly advancing technology that enables individuals to interact with external devices using their brain signals. This article introduces BCI-Net, a comprehensive database curated from the BCI Controlled Robot Contest in World Robot Contest, a prominent BCI competition in China. BCI-Net encompasses various BCI paradigms and applications, including steady-state visual evoked potential based BCI (SSVEP-BCI), motor imagery based BCI (MI-BCI), rapid serial visual presentation based based BCI (RSVP-BCI), affective BCI, and BCI Turing test. The database in the present study was curated from the final round of the contest and features real-world scenarios as well as extensive validations by participating teams. The introduction of the BCI-Net database in the BCI community holds promise to accelerate the development of BCIs and facilitate the design of cutting-edge BCI systems and decoding methods toward real-world applications. The BCI-Net database is freely accessible and available for download via the provided link http://bci.med.tsinghua.edu.cn/download.html.

脑机接口（brain-computer interface, BCI）是一项快速发展的技术，可使个体通过脑信号与外部设备实现交互。本文介绍了BCI-Net数据集，该数据集是从中国极具影响力的脑机接口赛事——世界机器人大会脑控机器人竞赛中精心整理而来的综合性数据库。BCI-Net涵盖了多种脑机接口范式与应用场景，包括基于稳态视觉诱发电位的脑机接口（steady-state visual evoked potential based BCI, SSVEP-BCI）、基于运动想象的脑机接口（motor imagery based BCI, MI-BCI）、基于快速序列视觉呈现的脑机接口（rapid serial visual presentation based BCI, RSVP-BCI）、情感脑机接口（affective BCI）以及脑机接口图灵测试（BCI Turing test）。本研究所用的该数据库源自赛事的决赛阶段，涵盖真实应用场景，并经过了参赛团队的多轮广泛验证。BCI-Net数据集在脑机接口领域的推出，有望加速脑机接口技术的发展，助力前沿脑机接口系统与解码方法的研发，推动其迈向实际应用。BCI-Net数据集可免费获取，用户可通过以下链接下载：http://bci.med.tsinghua.edu.cn/download.html。