Open AccessClassification of visual stimuli with different spatial patterns for single‐frequency, multi‐class SSVEP BCI
Author(s) -
Han C.H.,
Hwang H.J.,
Im C.H.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2013.2792
Subject(s) - brain–computer interface , checkerboard , electroencephalography , pattern recognition (psychology) , class (philosophy) , computer science , artificial intelligence , visual evoked potentials , visualization , evoked potential , visual spatial attention , spatial frequency , interface (matter) , visual perception , neuroscience , perception , psychology , mathematics , physics , geometry , bubble , maximum bubble pressure method , parallel computing , optics
A new approach for a multi‐class steady‐state visual‐evoked potential (SSVEP)‐based brain–computer interface (BCI) is proposed. It was demonstrated through preliminary experiments that spatial patterns of SSVEP responses recorded using high‐density electroencephalography while presenting pattern reversal checkerboard stimuli with different spatial patterns can be classified with fairly high accuracy. The average classification accuracies in two of the three subjects were 91.7% (12‐class) and 93.3% (15‐class), suggesting that the proposed visual stimulation can potentially be used for multi‐class SSVEP‐based BCI.