Open AccessHigh‐resolution SSVEP‐based brain–computer interface
Author(s) -
Zhang Shuailei,
Wang Shuai,
Zheng Dezhi,
Ma Kang,
Zhang Yajun,
Xiang Wang
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9077
Subject(s) - brain–computer interface , computer science , information transfer , bandwidth (computing) , interface (matter) , resolution (logic) , transfer (computing) , visual evoked potentials , encoding (memory) , visualization , range (aeronautics) , artificial intelligence , speech recognition , computer vision , electroencephalography , telecommunications , neuroscience , materials science , bubble , maximum bubble pressure method , parallel computing , composite material , biology
Steady‐state visual evoked potential based brain–computer interface (BCI) is now attracting growing attention for its fast and efficient information transfer rate. However, human beings show excellent response only in a limited range of frequencies. Due to the limitation of frequency bandwidth, it is difficult to obtain enough frequency for target encoding. This study presents a high‐resolution steady‐state visual evoked BCI whose frequency resolution reaches 0.1 Hz. Compared with the widely‐used system with frequency resolution of 0.2 Hz, this system have doubled the number of evoked frequencies, and increased the information transfer rate by 27.89% when sampling time is >3 s.