JOURNAL ARTICLE

Neural Mechanism of P300-Speller Brain-Computer Interface Using Familiar Face Paradigm

Abstract

Nowadays, P300-speller has become the most popular Brain-computer interface (BCI) which can provide a new communication path between patients suffered amyotrophic lateral sclerosis (ALS) and the outside world. Many efforts have been done to improve the speed and accuracy of the P300-speller. Recently, some researchers improve the performance of the P300-speller through replacing the flashing rows or columns target characters located with that the familiar faces overlaid on, which was called FF spelling paradigm. In this paper, an experiment based FF spelling paradigm was proposed and operated to make clear the neural mechanism when subjects facing the P300-speller using FF spelling paradigm. The result showed that more Event-related Potentials (ERPs) would be elicited contributing to classify, which would provide relevant theoretical basis for designing better graphical interface based on BCI.

Keywords:
Brain–computer interface Spelling Computer science Interface (matter) Speech recognition Event-related potential Mechanism (biology) Human–computer interaction Electroencephalography Neuroscience Psychology

Metrics

4
Cited By
0.33
FWCI (Field Weighted Citation Impact)
16
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience

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