Recent Advances in Brain-Computer Interface Systems

Reza Fazel-Rezai

ISBN 10: 9533071753 / ISBN 13: 9789533071756

Published by Intechopen Feb 2011, 2011

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 236 pp. Englisch.

Seller Inventory # 9789533071756

Bibliographic Details

• Title: Recent Advances in Brain-Computer Interface Systems
• Publisher: Intechopen Feb 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 9533071753
• ISBN 13: 9789533071756
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 21D millimeters 266 millimeters width by 185 millimeters height by 21 millimeters depth
• Weight: 727 grams

About this title

Synopsis

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.