SSVEP-Based Brain-Computer Interface via Checkerboard Pattern with Flickering Circles

In this study, a modified checkerboard pattern using flickering circles was proposed for a steady-state visual evoked potential (SSVEP)-based brain-computer interface system. We conducted experiments to observe the SSVEP response. Using the conventional SSVEP detection method, we found that six commands can be generated from three flickering frequencies using a single frequency or a mixture of flickering frequencies. The results showed that the checkerboard pattern with flickering circles achieved an average classification accuracy of 72.6% and 75.6% for flickering single and double circles, respectively. The modified checkerboard pattern can be used as an alternative SSVEP stimulus for individual users. However, for practical use, the feasibility of employing the proposed BCI system for control application in an actual scenario should be verified with more participants.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/bmeicon64021.2024.10896304
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

SSVEP-Based Brain-Computer Interface via Checkerboard Pattern with Flickering Circles

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EEG and Brain-Computer Interfaces
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article

SSVEP-Based Brain-Computer Interface via Checkerboard Pattern with Flickering Circles

Nannaphat Siribunyaphat, Yunyong Punsawad, Natjamee Tohkhwan, Benyapa Tanomjai, Sirawit Juthong, Panita Bunprom
article en
1 citations

Abstract

In this study, a modified checkerboard pattern using flickering circles was proposed for a steady-state visual evoked potential (SSVEP)-based brain-computer interface system. We conducted experiments to observe the SSVEP response. Using the conventional SSVEP detection method, we found that six commands can be generated from three flickering frequencies using a single frequency or a mixture of flickering frequencies. The results showed that the checkerboard pattern with flickering circles achieved an average classification accuracy of 72.6% and 75.6% for flickering single and double circles, respectively. The modified checkerboard pattern can be used as an alternative SSVEP stimulus for individual users. However, for practical use, the feasibility of employing the proposed BCI system for control application in an actual scenario should be verified with more participants.

Walailak University (TH)
Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
0.34
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