Efficient Algorithms for a Brain Computer Interface: Performance Studies

Título	Efficient Algorithms for a Brain Computer Interface: Performance Studies
Tipo de publicación	Book Chapter
Año de publicación	2009
Autores	Martin, JL, Ferreira, A, Mazo, M, Boquete, L, Palazuelos, SE, Garcia, JC
Book Title	Assistive Technology from Adapted Equipments to Inclusive Environments
Series Title	Assistive Technology Research Series
Volumen	25
Capítulo	Efficient Algorithms for a Brain Computer Interface: Performance Studies
Páginas	190 - 194
Fecha de publicación	09/2009
Editorial	IOS Press
Ciudad	Amsterdam
Idioma de publicación	English
ISSN	1383-813X
Numero ISBN	978-1-60750-042-1
Palabras clave	Brain Computer Interface, Human-Machine Interfaces, Support Vector Machines
Resumen	The design of a reliable Brain Computer Interface (BCI) is a very interesting topic in the Assistive Technology field because it would allow to people with very severe limitations to interact with his environment using electronic devices. This paper describes an architectural proposal for a BCI along with the results of a full test set. Proposed architecture has a three step structure: preprocessing, feature extraction and classification; tests have been conducted with twelve subjects of different gender and ages. Analysis of the data obtained in tests shows that the best performance in almost every circumstance can be achieved with a combination of Fast Fourier Transform and Wavelets (FFT-WT) as feature extraction step and Support Vector Machines (SVM) as classification step

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