Overview

This book provides a cutting-edge overview of the latest developments in Brain-Computer-Interfaces (BCIs), reported by leading research groups. As the reader will discover, BCI research is moving ahead rapidly, with many new ideas, research initiatives, and improved technologies, e.g. BCIs that enable people to communicate just by thinking – without any movement at all. Several different groups are helping severely disabled users communicate using BCIs, and BCI technology is also being extended to facilitate recovery from stroke, epilepsy, and other conditions. Each year, hundreds of the top BCI scientists, engineers, doctors, and other visionaries compete for the most prestigious honor in the BCI research community: the annual BCI Award. The 2013 BCI Award competition was by far the most competitive, with over 160 research groups vying for a nomination. The chapters of this book summarize the ten projects that were nominated, in particular the winning project, and analyses how these reflect general trends in BCI development. Each project summary includes an introduction, description of methods, results, and also includes newer work completed after the project was entered for the competition. The texts are presented in accessible style with numerous supporting pictures, graphs, and figures.

Full Product Details

Author:   Christoph Guger ,  Theresa Vaughan ,  Brendan Allison
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   2.292kg
ISBN:  

9783319099781

ISBN 10:   3319099787
Pages:   137
Publication Date:   17 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction (C. Guger, B. Allison).- Give me a sign: The possibilities of using hand gestures as a control signal for implanted brain computer interfaces (M.G. Bleichner, J.M. Jansma, Z.V. Freudenburg, E.J. Aarnoutse, M.J. Vansteensel, N.F. Ramsey).- An Ipsilateral, Contralesional BCI in Chronic Stroke Patients  (D. T. Bundy, E. C. Leuthardt).- A learning-based approach to artificial sensory feedback (M. C. Dadarlat, J. E. O’Doherty, P. N. Sabes).- An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation (N. Jiang, N. Mrachacz-Kersting, R. Xu, K. Dremstrup and D. Farina).- Ear-EEG: Continuous Brain Monitoring (D. Looney, P. Kidmose, M. J. Morrell, D. P. Mandic).- Passive brain- computer interface for robot-assisted rehabilitation (D. Novak, B. Beyeler, X. Omlin, R. Riener).- A concurrent brain-machine interface for sequential motor function (M. Shanechi, R. Hu, M. Powers, G. Wornell, E. Brown, Z. Williams).-  fMRI-guided subdural visual motion BCI with minimal invasiveness (D. Zhang, H. Song, R. Xu, B. Hong).- Multi-command Tactile and Bone-Conduction Auditory Brain Computer Interface (T. M. Rutkowski, H. Mori, and K. Mori).- Conclusion (C. Guger, B. Allison).

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Christoph Guger, Austria Theresa Vaughan, USA Brendan Allison, USA

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