@inbook {358,
	title = {Efficient Algorithms for a Brain Computer Interface: Performance Studies},
	booktitle = {Assistive Technology from Adapted Equipments to Inclusive Environments},
	series = {Assistive Technology Research Series},
	volume = {25},
	year = {2009},
	month = {09/2009},
	pages = {190 - 194},
	publisher = {IOS Press},
	organization = {IOS Press},
	chapter = {Efficient Algorithms for a Brain Computer Interface: Performance Studies},
	address = {Amsterdam},
	abstract = {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},
	keywords = {Brain Computer Interface, Human-Machine Interfaces, Support Vector Machines},
	isbn = {978-1-60750-042-1},
	issn = {1383-813X},
	author = {Jose Luis Martin and Andre Ferreira and Manuel Mazo and Luciano Boquete and Sira E. Palazuelos and Garcia, Juan Carlos}
}
