Use of a Green Familiar Faces Paradigm Improves P300-Speller Brain-Computer Interface Performance

Qi Li; Shuai Liu; Jian Li; Ou Bai

doi:10.1371/journal.pone.0130325

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JOURNAL ARTICLE

Use of a Green Familiar Faces Paradigm Improves P300-Speller Brain-Computer Interface Performance

Qi Li Shuai Liu Jian Li Ou Bai

Year: 2015 Journal: PLoS ONE Vol: 10 (6)Pages: e0130325-e0130325 Publisher: Public Library of Science

DOI: 10.1371/journal.pone.0130325

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Abstract

Combining the chromatic property (green color) and the FF spelling paradigm led to better classification accuracy and an increased information transfer rate. These findings demonstrate a promising new approach for improving the performance of the P300-speller.

Keywords:

Spelling Computer science Brain–computer interface Speech recognition Interface (matter) Artificial intelligence Psychology Neuroscience Linguistics Electroencephalography

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Neuroscience and Neural Engineering

Life Sciences → Neuroscience → Cellular and Molecular Neuroscience

Use of a Green Familiar Faces Paradigm Improves P300-Speller Brain-Computer Interface Performance

Abstract

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Citation History

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