TY - CHAP A1 - José Luis Martínez A2 - Antonio Barrientos ED1 - Reza Fazel-Rezai Y1 - 2011-02-04 PY - 2011 T1 - Applied Advanced Classifiers for Brain Computer Interface N2 - Brain Computer Interface (BCI) technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer. BCI technology involves monitoring conscious brain electrical activity via electroencephalogram (EEG) signals and detecting characteristics of EEG patterns via digital signal processing algorithms that the user generates to communicate. It has the potential to enable the physically disabled to perform many activities, thus improving their quality of life and productivity, allowing them more independence and reducing social costs. The challenge with BCI, however, is to extract the relevant patterns from the EEG signals produced by the brain each second. Recently, there has been a great progress in the development of novel paradigms for EEG signal recording, advanced methods for processing them, new applications for BCI systems and complete software and hardware packages used for BCI applications. In this book a few recent advances in these areas are discussed. BT - Recent Advances in Brain-Computer Interface Systems SP - Ch. 2 UR - https://doi.org/10.5772/14294 DO - 10.5772/14294 SN - PB - IntechOpen CY - Rijeka Y2 - 2019-11-14 ER -