Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm

Overview

Journal Front Neurosci

Date 2016 Oct 25

PMID 27774046

Citations 4

Authors

Sijie Zhou

Jing Jin

Ian Daly

Xingyu Wang

Andrzej Cichocki

Affiliations

Soon will be listed here.

Abstract

Many recent studies have focused on improving the performance of event-related potential (ERP) based brain computer interfaces (BCIs). The use of a face pattern has been shown to obtain high classification accuracies and information transfer rates (ITRs) by evoking discriminative ERPs (N200 and N400) in addition to P300 potentials. Recently, it has been proved that the performance of traditional P300-based BCIs could be improved through a modification of the mismatch pattern. In this paper, a mismatch inverted face pattern (MIF-pattern) was presented to improve the performance of the inverted face pattern (IF-pattern), one of the state of the art patterns used in visual-based BCI systems. Ten subjects attended in this experiment. The result showed that the mismatch inverted face pattern could evoke significantly larger vertex positive potentials ( < 0.05) and N400s ( < 0.05) compared to the inverted face pattern. The classification accuracy (mean accuracy is 99.58%) and ITRs (mean bit rate is 27.88 bit/min) of the mismatch inverted face pattern was significantly higher than that of the inverted face pattern ( < 0.05).

Citing Articles

Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance.

Mao Y, Jin J, Li S, Miao Y, Cichocki A Comput Intell Neurosci. 2021; 2021:6694310.

PMID: 33628218 PMC: 7886524. DOI: 10.1155/2021/6694310.

Effects of Visual Attention on Tactile P300 BCI.

Chen Z, Jin J, Daly I, Zuo C, Wang X, Cichocki A Comput Intell Neurosci. 2020; 2020:6549189.

PMID: 32148471 PMC: 7049858. DOI: 10.1155/2020/6549189.

Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns.

Li S, Jin J, Daly I, Zuo C, Wang X, Cichocki A Front Neurosci. 2020; 14:54.

PMID: 32082118 PMC: 7006297. DOI: 10.3389/fnins.2020.00054.

Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance.

Hammer E, Halder S, Kleih S, Kubler A Front Neurosci. 2018; 12:307.

PMID: 29867319 PMC: 5960704. DOI: 10.3389/fnins.2018.00307.

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