Output details
11 - Computer Science and Informatics
University of Ulster
Article title
A robust sensor-selection method for P300 brain–computer interfaces
Type
D - Journal article
Title of journal
Journal of Neural Engineering
Article number
-
Volume number
8
Issue number
1
First page of article
016001
ISSN of journal
1741-2552
Year of publication
2011
URL
-
Number of additional authors
6
Additional information
<01>A reduced number of sensors in the P300 speller brain-computer interface yields greater comfort for the user, decreases installation time, and may reduce substantially the financial cost of the BCI setup. The study was funded by the French National project RoBIK (Robust BCI keyboard). The outcomes of the study provided key parameters for creating a new headset in collaboration with the company DIXI (electrodes) and CEA (amplifier). The methods that were used in this study have been applied for other BCI tasks such as for the Rapid Serial Visual Presentation of images in cognitive neuroscience studies.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Intelligent Systems Research Centre
Citation count
16
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
