Brain-Computer Interface Research : A State-of-the-Art Summary 8 / edited by Christoph Guger, Brendan Z. Allison, Kai Miller.

Format:

Book

Contributor:

Guger, Christoph, editor.

Allison, Brendan Z., editor.

Miller, Kai, editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

SpringerBriefs in electrical and computer engineering 2191-8112

SpringerBriefs in Electrical and Computer Engineering, 2191-8112

Language:

English

Subjects (All):

Signal processing.

Image processing.

Speech processing systems.

Neurosciences.

User interfaces (Computer systems).

Signal, Image and Speech Processing.

User Interfaces and Human Computer Interaction.

Local Subjects:

Signal, Image and Speech Processing.

Neurosciences.

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (VI, 121 pages) : 55 illustrations, 48 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research. This book contains summaries of the key projects from the 2018 BCI Research Award. Each article is authored by the group of researchers who developed the project, and articles have been updated with new progress achieved since 2018. They are complemented by an introduction by the editors together with a chapter of highlights and interviews with the 2018 award winners. One of the prominent trends in recent years has been the development of BCIs for new patient groups; many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future.

Contents:

Introduction

Generating Handwriting from Multichannel Electromyographic Activity

Neural decoding of upper limb movements using Electroencephalography

Restoring Functional Reach-to-Grasp in a Person with Chronic Tetraplegia using Implanted Functional Electrical Stimulation and Intracortical Brain-Computer Interfaces

Towards Speech Synthesis from Intracranial Signals

Neural decoding of attentional selection in multi-speaker environments without access to clean sources

Goal-directed BCI feedback using cortical microstimulation

Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs

A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-Temporal Equalizer

Highlights and Interviews with Winners. .

Other Format:

Printed edition:

ISBN:

978-3-030-49583-1

9783030495831

Access Restriction:

Restricted for use by site license.