Fast detection of covert visuospatial attention using hybrid N2pc and SSVEP features.

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Abstract

Detecting the shift of covert visuospatial attention (CVSA) is vital for gaze-independent brain-computer interfaces (BCIs), which might be the only communication approach for severely disabled patients who cannot move their eyes. Although previous studies had demonstrated that it is feasible to use CVSA-related electroencephalography (EEG) features to control a BCI system, the communication speed remains very low. This study aims to improve the speed and accuracy of CVSA detection by fusing EEG features of N2pc and steady-state visual evoked potential (SSVEP).

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Journal

Journal ID (iso-abbrev): J Neural Eng

Title: Journal of neural engineering

Publisher: IOP Publishing

ISSN (Electronic): 1741-2552

ISSN (Print): 1741-2552

Publication date (Electronic): Dec 2016

Volume: 13

Issue: 6

Affiliations

[1 ] Department of Biomedical Engineering, Tianjin University, Tianjin 300072, People's Republic of China. Swartz Center for Computational Neuroscience, University of California, San Diego, CA 92093, USA.

Article

DOI: 10.1088/1741-2560/13/6/066003

PubMed ID: 27705952

SO-VID: b04de98b-9f14-4cc2-ae29-55fe2724f963

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