Enhancing performance of SSVEP-based BCI by unsupervised learning information from test trials
EMBC, pp. 3359-3362, 2020.
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
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