TY - CHAP T1 - Efficient Algorithms for a Brain Computer Interface: Performance Studies T2 - Assistive Technology from Adapted Equipments to Inclusive Environments Y1 - 2009 A1 - Jose Luis Martin A1 - Andre Ferreira A1 - Manuel Mazo A1 - Luciano Boquete A1 - Sira E. Palazuelos A1 - Garcia, Juan Carlos KW - Brain Computer Interface KW - Human-Machine Interfaces KW - Support Vector Machines AB - 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 JF - Assistive Technology from Adapted Equipments to Inclusive Environments T3 - Assistive Technology Research Series PB - IOS Press CY - Amsterdam VL - 25 SN - 978-1-60750-042-1 ER -