Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface

Overview

Journal Front Comput Neurosci

Specialty Biology

Date 2019 May 21

PMID 31105544

Citations 6

Authors

Miaoji Guo

Jing Jin

Yong Jiao

Xingyu Wang

Andrzej Cichockia

Affiliations

Soon will be listed here.

Abstract

Stimulus visual patterns, such as size, content, color, luminosity, and interval, play key roles for brain-computer interface (BCI) performance. However, the three primary colors to be intercompared as a single variable or factor on the same platform are poorly studied. In this work, we configured the visual stimulus patterns with red, green, and blue operating on a newly designed layout of the flash pattern of BCI to study the waveforms and performance of the evoked related potential (ERP). Twelve subjects participated in our experiment, and each subject was required to finish three different color sub-experiments. Four blocks of the interface were presented along the edge of the screen, and the other four were assembled in the center, aiming to investigate the problem of adjacency distraction. Repeated-measures ANOVA and Bonferroni correction were applied for statistical analysis. The averaged online accuracy was 98.44% for the red paradigm, higher than 92.71% for the green paradigm, and 93.23% for the blue paradigm. Furthermore, significant differences in online accuracy ( < 0.05) and information transfer rate ( < 0.05) were found between the red and green paradigms. The red stimulus paradigm yielded the best performance. The proposed design of ERP-based BCI was practical and effective for many potential applications.

Citing Articles

Influence of Auditory Cues on the Neuronal Response to Naturalistic Visual Stimuli in a Virtual Reality Setting.

Al Boustani G, Weiss L, Li H, Meyer S, Hiendlmeier L, Rinklin P Front Hum Neurosci. 2022; 16:809293.

PMID: 35721351 PMC: 9201822. DOI: 10.3389/fnhum.2022.809293.

Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions.

Gutierrez-Martinez J, Mercado-Gutierrez J, Carvajal-Gamez B, Rosas-Trigueros J, Contreras-Martinez A Front Hum Neurosci. 2021; 15:772837.

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Evaluation of color modulation in visual P300-speller using new stimulus patterns.

Zhang X, Jin J, Li S, Wang X, Cichocki A Cogn Neurodyn. 2021; 15(5):873-886.

PMID: 34603548 PMC: 8448814. DOI: 10.1007/s11571-021-09669-y.

Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions.

Chailloux Peguero J, Mendoza-Montoya O, Antelis J Sensors (Basel). 2020; 20(24).

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BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces.

Simoes M, Borra D, Santamaria-Vazquez E, Bittencourt-Villalpando M, Krzeminski D, Miladinovic A Front Neurosci. 2020; 14:568104.

PMID: 33100959 PMC: 7556208. DOI: 10.3389/fnins.2020.568104.

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