Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

## BCIs using steady-state visual-evoked potentials

• Author(s):
• DOI:

$16.00 (plus tax if applicable) ##### Buy Knowledge Pack 10 chapters for$120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:

Signal Processing to Drive Human-Computer Interaction: EEG and eye-controlled interfaces — Recommend this title to your library

## Thank you

Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuromuscular disabilities. Among the existing solutions, the systems relying on electroencephalograms (EEGs) occupy the most prominent place due to their noninvasiveness. However, the process of translating EEG signals into computer commands is far from trivial, since it requires the optimization of many different parameters that need to be tuned jointly. In this chapter, we focus on the category of EEG-based BCIs that rely on steady-state-visual-evoked potentials (SSVEPs) and perform a comparative evaluation of the most promising algorithms existing in the literature. Moreover, we will also describe four novel approaches that are able to improve the accuracy of the interaction under different operational context.

Chapter Contents:

• 8.1 Introduction
• 8.2 Regression-based SSVEP recognition systems
• 8.2.1 Multivariate linear regression (MLR) for SSVEP
• 8.2.2 Sparse Bayesian LDA for SSVEP
• 8.2.3 Kernel-based BLDA for SSVEP (linear kernel)
• 8.2.4 Kernels for SSVEP
• 8.2.4.1 CCA-based kernel
• 8.2.4.2 PLS kernel
• 8.2.5 Multiple kernel approach
• 8.3 Results
• 8.4 Summary
• References

Preview this chapter:

BCIs using steady-state visual-evoked potentials, Page 1 of 2

| /docserver/preview/fulltext/books/ce/pbce129e/PBCE129E_ch8-1.gif /docserver/preview/fulltext/books/ce/pbce129e/PBCE129E_ch8-2.gif

### Related content

content/books/10.1049/pbce129e_ch8
pub_keyword,iet_inspecKeyword,pub_concept
6
6
This is a required field