InTech, 2013, 270 pages, ISBN: 9535111344 9789535111344The objective of this book is to discuss recent progress and future prospects of Brain-Computer Interface (BCI) systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods; review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.BCI systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer.
In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically.Contents:Preface
A User Centred Approach for Bringing BCI Controlled Applications to End-Users
BCI Integration: Application Interfaces
Adaptive Network Fuzzy Inference Systems for Classification in a Brain Computer Interface
Bayesian Sequential Learning for EEG-Based BCI Classification Problems
Optimal Fractal Feature and Neural Network: EEG Based BCI Applications
Using Autoregressive Models of Wavelet Bases in the Design of Mental Task-Based BCIs
Client-Centred Music Imagery Classification Based on Hidden Markov Models of Baseline Prefrontal Hemodynamic Responses
Equivalent-Current-Dipole-Source-Localization-Based BCIs with Motor Imagery
Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain-Computer Interface Systems
Review of Wireless Brain-Computer Interface Systems
Brain Computer Interface for Epilepsy Treatment
Emotion Recognition Based on Brain-Computer Interface Systems
