BrainComputer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of BrainComputer 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 peoples 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 braincomputer 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 braincomputer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development.
| Foreword |
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| Preface |
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| Handbook Website |
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| Editors |
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| Contributors |
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xix | |
| Reviewers |
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| Introduction: Evolution of Brain--Computer Interfaces |
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PART I Brain--Computer Interface Applications |
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SECTION A Brain--Computer Interfaces Introduction |
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Chapter 1 Brain--Computer Interface: An Emerging Interaction Technology |
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Chapter 2 Facilitating the Integration of Modern Neuroscience into Noninvasive BCIs |
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Chapter 3 Passive Brain--Computer Interfaces: A Perspective on Increased Interactivity |
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69 | (20) |
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SECTION B Therapeutic Applications |
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Chapter 4 Brain--Computer Interfaces for Motor Rehabilitation, Assessment of Consciousness, and Communication |
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Chapter 5 Therapeutic Applications of BCI Technologies |
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Chapter 6 Neuroprosthetics: Past, Present, and Future |
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113 | (20) |
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Chapter 7 Design and Customization of SSVEP-Based BCI Applications Aimed for Elderly People |
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SECTION C Affective and Artistic Brain--Computer Interfaces |
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Chapter 8 Affective Brain--Computer Interfacing and Methods for Affective State Detection |
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Chapter 9 Toward Practical BCI Solutions for Entertainment and Art Performance |
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165 | (28) |
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Chapter 10 BCI for Music Making: Then, Now, and Next |
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SECTION D BCI Control of Entertainment and Multimedia |
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Chapter 11 BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback? |
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209 | (26) |
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Chapter 12 Brain--Computer Interfaces for Mediating Interaction in Virtual and Augmented Reality |
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235 | (18) |
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Chapter 13 Brain--Computer Interfaces and Haptics: A Literature Review |
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253 | (16) |
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PART II Signal Acquisition and Open Source Platform in BCI |
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Chapter 14 Utilizing Subdermal Electrodes as a Noninvasive Alternative for Motor-Based BCIs |
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269 | (10) |
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Chapter 15 Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex |
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Chapter 16 ECoG-Based BCIs |
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297 | (26) |
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PART III Signal Processing, Feature Extraction, and Classification in BCI |
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Chapter 18 Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis |
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343 | (28) |
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Chapter 19 Riemannian Classification for SSVEP-Based BCI: Offline versus Online Implementations |
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371 | (26) |
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Chapter 20 The Fundamentals of Signal Processing for Evoked Potential BCIs: A Guided Tutorial |
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397 | (10) |
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Chapter 21 Bayesian Learning for EEG Analysis |
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Chapter 22 Transfer Learning for BCIs |
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PART IV Brain--Computer Interface Paradigms |
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Chapter 23 A Step-by-Step Tutorial for a Motor Imagery-Based BCI |
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Chapter 24 Eye Gaze Collaboration with Brain--Computer Interfaces: Using Both Modalities for More Robust Interaction |
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461 | (26) |
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Chapter 25 Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach |
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Chapter 26 Issues and Challenges in Designing P300 and SSVEP Paradigms |
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501 | (24) |
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Chapter 27 Hybrid Brain--Computer Interfaces and Their Applications |
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525 | (24) |
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Chapter 28 Augmenting Attention with Brain--Computer Interfaces |
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549 | (14) |
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PART V Human Factors, Design, and Evaluation in BCI |
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Chapter 29 Toward Usability Evaluation for Brain--Computer Interfaces |
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563 | (22) |
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Chapter 30 Why User-Centered Design Is Relevant for Brain--Computer Interfacing and How It Can Be Implemented in Study Protocols |
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Chapter 31 A Generic Framework for Adaptive EEG-Based BCI Training and Operation |
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Chapter 32 Mind the Traps! Design Guidelines for Rigorous BCI Experiments |
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613 | (22) |
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Chapter 33 Evaluation and Performance Assessment of the Brain--Computer Interface System |
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PART VI Emerging Issues and Future BCIs |
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Chapter 34 Privacy and Ethics in Brain--Computer Interface Research |
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Chapter 35 Associative Plasticity Induced by a Brain--Computer Interface Based on Movement-Related Cortical Potentials |
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Natalie Mrachacz-Kersting |
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Chapter 36 Past and Future of Multi-Mind Brain--Computer Interfaces |
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685 | (16) |
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Chapter 37 Bidirectional Neural Interfaces |
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701 | (20) |
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Chapter 38 Perspectives on Brain--Computer Interfaces |
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| Conclusion: Moving Forward in Brain--Computer Interfaces |
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725 | (2) |
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| Author Index |
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727 | (34) |
| Subject Index |
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Chang S. Nam is an associate professor of Edward P. Fitts Industrial and Systems Engineering at North Carolina State University, USA. He is also an associated professor of the UNC/NCSU Joint Department of Biomedical Engineering as well as Department of Psychology. He received a PhD from the Grado Department of Industrial and Systems Engineering at Virginia Tech in 2003. Dr. Nam is the author or coauthor of over 70 research publications including journal articles, books, book chapters, and conference proceedings. Dr. Nams research interests center around braincomputer interface and rehabilitation, wearable sensor-based remote healthcare, neuroergonomics, neuroadaptive automation in large-scale unmanned aerial vehicles (UAVs), and haptic-user interaction. His research has been supported by federal agencies including National Science Foundation (NSF), Air Force Research Laboratory (AFRL) and National Security Agency (NSA). Dr. Nam has received the NSF CAREER Award, Outstanding Researcher Award, and Best Teacher Award. Currently, Dr. Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces.
Anton Nijholt is Professor Emeritus of the University of Twente, the Netherlands and research-fellow at the Imagineering Institute in Iskandar, Malaysia. He studied mathematics at Delft University of Technology and received a PhD in computer science from the Vrije Universiteit, Amsterdam. He held positions at McMaster University, Canada, University of Twente, Nijmegen University and Vrije Universiteit Brussels, before becoming full professor at the University of Twente, where he established the Human Media Interaction (HMI) research group. He supervised more than fifty PhD students in natural language processing, human-computer interaction, multi-party interaction, and braincomputer interfacing. His research has been supported by regional, national and EU research agencies. Nijholt is author of hundreds of research papers and he is editor of books on braincomputer interfaces, entertainment computing, playful interfaces and playable cities. Nijholt was research-fellow at the Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS) and for several years he acted as an adviser for Philips Research. Nijholt also acted as general or program chair of all main international conferences on entertainment computing, virtual agents, affective computing and multimodal interaction. Currently he is editor of the Springer book series on Gaming Media and Social Effects, specialty chief Human-Media Interaction of the journal Frontiers in Psychology and member of editorial boards of various other journals.
Fabien Lotte is a Research Scientist (with tenure) at Inria Bordeaux Sud-Ouest, France, since 2011. He obtained a M.Sc., a M.Eng. and a PhD degree in computer sciences, all from the National Institute of Applied Sciences (INSA) Rennes, France, in 2005 (M.Sc., M.Eng.) and 2008 (PhD). In 2009 and 2010, he was a research fellow at the Institute for Infocomm Research (I2R) in Singapore, working in the BrainComputer Interface Laboratory. His research interests include BrainComputer Interfaces (BCI), human-computer interaction, pattern recognition and brain signal processing. He is the author or co-author of about 100 publications, several of which published in the best journals (e.g., Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Proceedings of the IEEE, IEEE Transactions on Signal Processing, etc.) and conferences (ICASSP, UIST, CHI, etc.) in these fields. His PhD Thesis received both the PhD Thesis award 2009 from AFRIF (French Association for Pattern Recognition) and the PhD Thesis award 2009 accessit (2nd prize) from ASTI (French Association for Information Sciences and Technologies). His research is supported among others by Inria, the French National Research Agency (ANR) and the European Research Council (ERC). He is part of the editorial boards of the journals BrainComputer Interfaces and Journal of Neural Engineering.
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