Algorithm contest of motor imagery BCI in the World Robot Contest 2022:A survey  

作　　者：Jiayu An Xinru Chen Dongrui Wu 

机构地区：[1]School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan,Hubei,China [2]Shenzhen Huazhong University of Science and Technology Research Institute,Shenzhen,Guangdong,China

出　　处：《Brain Science Advances》2023年第3期166-181,共16页神经科学（英文）

基　　金：supported by the STI 2030—Major Project(Grant No.2021ZD0201300);Shenzhen Science and Technology Program(Grant No.JCYJ20220818103602004);Hubei Province Funds for Distinguished Young Scholars(Grant No.2020CFA050)。

摘　　要：From August 19 to 21,2022,the BCI Controlled Robot Contest finals in the World Robot Contest 2022 were held in Beijing,China.Fifteen teams participated in the finals in the Algorithm Contest of Motor Imagery BCI.This paper introduces the algorithms in the motor imagery(MI)classification area,describes the competition content and set,and summarizes the algorithms and results of the top five teams in the finals.First,the MI paradigm and the overview of the existing motor imagery brain–computer interface classification algorithms are introduced,followed by the introduction of the algorithms of the top five teams in the final step by step,including electroencephalography channel selection,data length selection,data preprocessing,data augmentation,classification network,training,and testing settings.Finally,the highlights and results of each algorithm are discussed.

关 键 词：brain-computer interface motor imagery convolutional neural network EEGNet World RobotContest2022 

分 类 号：TN911.7[电子电信—通信与信息系统] TP242[电子电信—信息与通信工程]