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A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface
Joint Authors
Cavrini, Francesco
Quitadamo, Lucia Rita
Bianchi, Luigi
Saggio, Giovanni
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI) based on electroencephalography.
In particular, we present an ensemble method that can be applied to a variety of systems and evaluate it in the context of a visual P300-based BCI.
Offline analysis of data relative to 5 subjects lets us argue that the proposed classification strategy is suitable for BCI.
Indeed, the achieved performance is significantly greater than the average of the base classifiers and, broadly speaking, similar to that of the best one.
Thus the proposed methodology allows realizing systems that can be used by different subjects without the need for a preliminary configuration phase in which the best classifier for each user has to be identified.
Moreover, the ensemble is often capable of detecting uncertain situations and turning them from misclassifications into abstentions, thereby improving the level of safety in BCI for environmental or device control.
American Psychological Association (APA)
Cavrini, Francesco& Bianchi, Luigi& Quitadamo, Lucia Rita& Saggio, Giovanni. 2015. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099831
Modern Language Association (MLA)
Cavrini, Francesco…[et al.]. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099831
American Medical Association (AMA)
Cavrini, Francesco& Bianchi, Luigi& Quitadamo, Lucia Rita& Saggio, Giovanni. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface. Computational Intelligence and Neuroscience. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099831