Evaluation is performed on a recording from 5 subjects during a BCI task based on Steady-State Visual Evoked Potentials (SSVEP). The authors demonstrate that ...

We demonstrate that CCA significantly improves classification performances in SSVEP-based BCIs. I. INTRODUCTION. Brain Computer Interface (BCI) systems provide ...

Evaluation is performed on a recording from 5 subjects during a BCI task based on Steady-State Visual Evoked Potentials (SSVEP). The authors demonstrate that ...

Evaluation is performed on a recording from 5 subjects during a BCI task based on Steady-State Visual Evoked Potentials (SSVEP). The authors demonstrate that ...

This paper proposes a novel canonical correlation analysis (CCA)-based method to improve the recognition performance of SSVEPs. Methods. The proposed method ...

We show here that considering the first two canonical correlations, instead of the largest one only, can significantly improve classification accuracy without ...

Jan 14, 2020 · This study illustrates that adding subject-independent information to subject-specific models can improve performance of SSVEP-based BCIs.

This page is a summary of: SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances , September 2013, Institute of Electrical & ...

This study proposed a filter bank canonical correlation analysis (FBCCA) method to improve the frequency detection of. SSVEPs. A 40-target BCI speller was ...

Jun 28, 2023 · In this paper, we propose a canonical correlation analysis (CCA)-based transfer learning framework for improving the performance of an SSVEP BCI ...