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）是一门快速发展的技术，可实现使用者通过脑信号与外部设备进行交互。本文介绍了BCI-Net数据集——一个源自国内颇具影响力的脑机接口赛事——世界机器人竞赛脑机接口控制机器人竞赛的综合数据集。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（SSVEP-BCI）、基于运动想象的脑机接口（MI-BCI）、基于快速序列视觉呈现的脑机接口（RSVP-BCI）、情感脑机接口（Affective BCI）以及脑机接口图灵测试（BCI Turing Test）。本研究所用数据集源自该赛事的决赛阶段，包含真实应用场景，并经过参赛团队的多轮验证。BCI-Net数据集的推出，有望推动脑机接口领域的研发进展，助力前沿脑机接口系统与解码方法的设计，以适配真实应用场景。该数据集可免费获取，用户可通过指定链接http://bci.med.tsinghua.edu.cn/download.html进行下载。

搜集汇总

背景与挑战

背景概述

BCI-Net 2022是一个包含多种脑机接口(BCI)范式的综合数据库，源自2022年世界机器人大赛的BCI控制机器人竞赛决赛数据。该数据集涵盖SSVEP-BCI、MI-BCI等5种BCI应用，具有真实场景验证，可免费获取用于促进BCI算法研究和系统开发。