Wavelet-Fractal & Neuro-Fuzzy for Brain Computer Interface Application: A Series of Novel Approaches Toward EEG-based Brain-Computer Interface Systems - Softcover

Hsu, Wei-Yen

Softcover

ISBN 10: 384650906X ISBN 13: 9783846509067

Publisher: LAP LAMBERT Academic Publishing, 2011

Synopsis

The ultimate objective of brain-computer interface (BCI) is to provide humans an alternative communication channel allowing direct transmission of messages from the brain to a computer by analyzing the brain’s mental activities. The BCI is usually described that a person has the ability to communicate with others without the prerequisite of brain’s normal output pathways of peripheral nerves and muscles by controlling his own electroencephalographic (EEG) signals. In BCI applications, the performance and reliability of mental task analysis greatly depend on feature extraction and representation. In this book, a series of methods are proposed, including t-test-weighted time-scale plot, active segment selection, multiresolution fractal feature vector (MFFV) associated with genetic algorithm (GA), and neuro-fuzzy time-series prediction to effectively extract, select, and represent features for better classification accuracy. Compared to other well-known approaches, the experimental results show that the proposed methods are superior on both real finger movement and motor-imagery (MI) data for BCI applications.

About this title

About the Author:

He received the MS and PhD degrees in the Department of Computer Science and Information Engineering from National Cheng Kung University, Tainan, Taiwan in 2001 and 2008, respectively. His current research interests include medical image processing, biomedical signal processing, neuroscience methods, and computer vision and graphics.

About this edition

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• ISBN 10: 384650906X
• ISBN 13: 9783846509067
• Binding: Paperback
• Number of pages: 104