Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals, theories, and diverse applications of BCI, creating a valuable resource for anyone involved with the improvement of people’s lives by replacing, restoring, improving, supplementing or enhancing natural output from the central nervous system. It is a useful guide for readers interested in understanding how neural bases for cognitive and sensory functions, such as seeing, hearing, and remembering, relate to real-world technologies. More precisely, this handbook details clinical, therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception, affect, and action. It overviews the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying users’ mental states and intentions. Various theories, models, and empirical findings regarding the ways in which the human brain interfaces with external systems and environments using BCI are also explored. The handbook concludes by engaging ethical considerations, open questions, and challenges that continue to face brain–computer interface research.

  • Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user's intention
  • Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments
  • Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, and more
  • Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI
  • Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs

Overall, this handbook provides a synopsis of key technological and theoretical advances that are directly applicable to brain–computer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development.

part I|2 pages

Brain–Computer Interface Applications

section A|2 pages

Brain–Computer Interfaces Introduction

chapter 1|42 pages

Brain–Computer Interface

An Emerging Interaction Technology
ByChang S. Nam, Inchul Choi, Amy Wadeson, Mincheol Whang

chapter 2|16 pages

Facilitating the Integration of Modern Neuroscience into Noninvasive BCIs

ByMark Wronkiewicz, Eric Larson, Adrian K.C. Lee

chapter 3|18 pages

Passive Brain–Computer Interfaces

A Perspective on Increased Interactivity
ByLaurens R. Krol, Lena M. Andreessen, Thorsten O. Zander

section B|2 pages

Therapeutic Applications

chapter 4|12 pages

Brain–Computer Interfaces for Motor Rehabilitation, Assessment of Consciousness, and Communication

ByChristoph Guger, Rossella Spataro, Jitka Annen, Rupert Ortner, Danut Irimia, Brendan Allison, Vincenzo La Bella, Woosang Cho, Günter Edlinger, Steven Laureys

chapter 5|12 pages

Therapeutic Applications of BCI Technologies

ByDennis J. McFarland

chapter 6|20 pages

Advances in Neuroprosthetics

Past, Present, and Future
ByStuart Mason Dambrot

chapter 7|12 pages

Design and Customization of SSVEP-Based BCI Applications Aimed for Elderly People

ByPiotr Stawicki, Felix Gembler, Ivan Volosyak

section C|2 pages

Affective and Artistic Brain–Computer Interfaces

chapter 9|28 pages

Toward Practical BCI Solutions for Entertainment and Art Performance

ByParuthi Pradhapan, Ulf Großekathöfer, Giuseppina Schiavone, Bernard Grundlehner, Vojkan Mihajlović

chapter 10|14 pages

BCI for Music Making

Then, Now, and Next
ByDuncan A.H. Williams, Eduardo R. Miranda

section D|2 pages

BCI Control of Entertainment and Multimedia

chapter 11|26 pages

BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback?

BySilvia E. Kober, Manuel Ninaus, Elisabeth V.C. Friedrich, Reinhold Scherer

chapter 12|18 pages

Brain–Computer Interfaces for Mediating Interaction in Virtual and Augmented Reality

ByJosef Faller, Neil Weiss, Nicholas Waytowich, Paul Sajda

chapter 13|14 pages

Brain–Computer Interfaces and Haptics

A Literature Review
ByJan B.F. van Erp

part II|2 pages

Signal Acquisition and Open Source Platform in BCI

chapter 14|10 pages

Utilizing Subdermal Electrodes as a Noninvasive Alternative for Motor-Based BCIs

ByMelissa M. Smith, Jared D. Olson, Felix Darvas, Rajesh P.N. Rao

chapter 15|18 pages

Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex

ByPhilip R. Kennedy, Dinal S. Andreasen, Jess Bartels, Princewill Ehirim, Edward Joe Wright, Steven Seibert, Andre Joel Cervantes

chapter 16|26 pages

ECoG-Based BCIs

ByAysegul Gunduz, Gerwin Schalk

chapter 17|18 pages

BCI Software

ByPeter Brunner, Gerwin Schalk

part III|2 pages

Signal Processing, Feature Extraction, and Classification in BCI

chapter 19|26 pages

Riemannian Classification for SSVEP-Based BCI

Offline versus Online Implementations
BySylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy, Florian Yger

chapter 20|10 pages

The Fundamentals of Signal Processing for Evoked Potential BCIs:

A Guided Tutorial
ByGarett D. Johnson, Dean J. Krusienski

chapter 21|18 pages

Bayesian Learning for EEG Analysis

ByYu Zhang

chapter 22|18 pages

Transfer Learning for BCIs

ByVinay Jayaram, Karl-Heinz Fiebig, Jan Peters, Moritz Grosse-Wentrup

part IV|2 pages

Brain–Computer Interface Paradigms

chapter 23|16 pages

A Step-by-Step Tutorial for a Motor Imagery–Based BCI

ByHohyun Cho, Minkyu Ahn, Moonyoung Kwon, Sung Chan Jun

chapter 24|26 pages

Eye Gaze Collaboration with Brain–Computer Interfaces

Using Both Modalities for More Robust Interaction
ByGaye Lightbody, Chris P. Brennan, Paul J. McCullagh, Leo Galway

chapter 25|14 pages

Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach

ByBoyla O. Mainsah, Leslie M. Collins, Chandra S. Throckmorton

chapter 26|24 pages

Issues and Challenges in Designing P300 and SSVEP Paradigms

ByAli Haider, Reza Fazel-Rezai

chapter 27|24 pages

Hybrid Brain–Computer Interfaces and Their Applications

ByJiahui Pan, Yuanqing Li

chapter 28|12 pages

Augmenting Attention with Brain–Computer Interfaces

ByMehdi Ordikhani-Seyedlar, Mikhail A. Lebedev

part V|2 pages

Human Factors, Design, and Evaluation in BCI

chapter 29|22 pages

Toward Usability Evaluation for Brain–Computer Interfaces

ByIlsun Rhiu, Yushin Lee, Inchul Choi, Myung Hwan Yun, Chang S. Nam

chapter 31|18 pages

A Generic Framework for Adaptive EEG-Based BCI Training and Operation

ByJelena Mladenović, Jérémie Mattout, Fabien Lotte

chapter 32|22 pages

Mind the Traps! Design Guidelines for Rigorous BCI Experiments

ByCamille Jeunet, Stefan Debener, Fabien Lotte, Jérémie Mattout, Reinhold Scherer, Catharina Zich

chapter 33|16 pages

Evaluation and Performance Assessment of the Brain–Computer Interface System

ByMd Rakibul Mowla, Jane E. Huggins, David E. Thompson

part VI|2 pages

Emerging Issues and Future BCIs

chapter 34|16 pages

Privacy and Ethics in Brain–Computer Interface Research

ByEran Klein, Alan Rubel

chapter 35|16 pages

Associative Plasticity Induced by a Brain–Computer Interface Based on Movement-Related Cortical Potentials

ByNatalie Mrachacz-Kersting, Ning Jiang, Kim Dremstrup, Dario Farina

chapter 36|16 pages

Past and Future of Multi-Mind Brain–Computer Interfaces

ByDavide Valeriani, Ana Matran-Fernandez

chapter 37|20 pages

Bidirectional Neural Interfaces

ByMikhail A. Lebedev, Alexei Ossadtchi

chapter 38|4 pages

Perspectives on Brain–Computer Interfaces

ByGerwin Schalk