Brain-Computer Interface Research: A State-of-the-Art Summary 3

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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.

Author(s): Christoph Guger, Theresa Vaughan, Brendan Allison (eds.)
Series: SpringerBriefs in Electrical and Computer Engineering
Edition: 1
Publisher: Springer International Publishing
Year: 2014

Language: English
Pages: 137
Tags: User Interfaces and Human Computer Interaction; Neurosciences; Medical and Radiation Physics; Computational Intelligence; Biomedical Engineering

Front Matter....Pages i-vi
Recent Advances in Brain-Computer Interface Research—The BCI Award 2013....Pages 1-6
Give Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cortex as a Potential Control Signal for Implanted Brain Computer Interfaces....Pages 7-17
An Ipsilateral, Contralesional BCI in Chronic Stroke Patients....Pages 19-29
A Learning-Based Approach to Artificial Sensory Feedback....Pages 31-46
An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation....Pages 47-61
Ear-EEG: Continuous Brain Monitoring....Pages 63-71
Passive Brain-Computer Interfaces for Robot-Assisted Rehabilitation....Pages 73-95
A Concurrent Brain-Machine Interface for Enhanced Sequential Motor Function....Pages 97-112
fMRI-Guided Subdural Visual Motion BCI with Minimal Invasiveness....Pages 113-123
Multi-command Tactile and Bone-Conduction-Auditory Brain-Computer Interface....Pages 125-131
The BCI 2013 Award Winner and BCI Trends....Pages 133-137