Research Repository

Visual modifications on the P300 speller BCI paradigm

Salvaris, M and Sepulveda, F (2009) 'Visual modifications on the P300 speller BCI paradigm.' Journal of Neural Engineering, 6 (4). creators-Sepulveda=3AFrancisco=3A=3A. ISSN 1741-2560

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The best known P300 speller brain-computer interface (BCI) paradigm is the Farwell and Donchin paradigm. In this paper, various changes to the visual aspects of this protocol are explored as well as their effects on classification. Changes to the dimensions of the symbols, the distance between the symbols and the colours used were tested. The purpose of the present work was not to achieve the highest possible accuracy results, but to ascertain whether these simple modifications to the visual protocol will provide classification differences between them and what these differences will be. Eight subjects were used, with each subject carrying out a total of six different experiments. In each experiment, the user spelt a total of 39 characters. Two types of classifiers were trained and tested to determine whether the results were classifier dependant. These were a support vector machine (SVM) with a radial basis function (RBF) kernel and Fisher's linear discriminant (FLD). The single-trial classification results and multiple-trial classification results were recorded and compared. Although no visual protocol was the best for all subjects, the best performances, across both classifiers, were obtained with the white background (WB) visual protocol. The worst performance was obtained with the small symbol size (SSS) visual protocol.

Item Type: Article
Uncontrolled Keywords: Brain; Humans; Electroencephalography; Cues; Event-Related Potentials, P300; Algorithms; Software; User-Computer Interface; Adult; Female; Male; Young Adult
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 05 Mar 2013 12:12
Last Modified: 23 Sep 2022 19:10

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