One of the key issues in the development of braincomputer interfaces (BCIs) is the improvement of their current information transfer rate. In order to achieve that objective at least two aspects of BCI design should be considered: classification accuracy and protocol specification. In this paper we show how combination of classifiers using fuzzy measures and the Choquet integral can be applied to the context of EEG-based BCI and study whether its use, together with an appropriate application protocol, can lead to an increase in the information transfer rate.

Cavrini, F., Bianchi, L., Quitadamo, L., Abbafati, M., Saggio, G. (2011). Use of the Choquet Integral for Combination of Classifiers in P300 Based Brain-Computer Interface. In Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on. Bari : IEEE [10.1109/MeMeA.2011.5966688].

Use of the Choquet Integral for Combination of Classifiers in P300 Based Brain-Computer Interface

BIANCHI, LUIGI;SAGGIO, GIOVANNI
2011-05-31

Abstract

One of the key issues in the development of braincomputer interfaces (BCIs) is the improvement of their current information transfer rate. In order to achieve that objective at least two aspects of BCI design should be considered: classification accuracy and protocol specification. In this paper we show how combination of classifiers using fuzzy measures and the Choquet integral can be applied to the context of EEG-based BCI and study whether its use, together with an appropriate application protocol, can lead to an increase in the information transfer rate.
The 6th IEEE International Symposium on Medical Measurements and Applications (MeMeA 2011)
Bari, Italy
2011
6
IEEE
Rilevanza internazionale
contributo
mag-2011
31-mag-2011
Settore ING-INF/01 - ELETTRONICA
English
Biomedical signal processing; Brain computer interfaces (BCIs); Combination of classifiers; Electroencephalography (EEG); Fuzzy measure; Fuzzy integral
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5966688
Intervento a convegno
Cavrini, F., Bianchi, L., Quitadamo, L., Abbafati, M., Saggio, G. (2011). Use of the Choquet Integral for Combination of Classifiers in P300 Based Brain-Computer Interface. In Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on. Bari : IEEE [10.1109/MeMeA.2011.5966688].
Cavrini, F; Bianchi, L; Quitadamo, L; Abbafati, M; Saggio, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/100280
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