Enhancing performance of SSVEP-based BCI by unsupervised learning information from test trials

EMBC, pp. 3359-3362, 2020.

WOS EI
Other Links: pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Steady-State Visual Evoked Potentials (SSVEPs) have become one of the most used neural signals for brain- computer interfaces (BCIs) due to their stability and high signal- to-noise rate. However, the performance of SSVEP-based BCIs would degrade with a few training samples. This study was proposed to enhance the detection of SSVEP by com...More

Code:

Data:

Your rating :
0

 

Tags
Comments