Nam / Nijholt / Lotte Brain–Computer Interfaces Handbook

Technological and Theoretical Advances
1. Auflage 2018
ISBN: 978-1-351-23194-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 814 Seiten

This handbook is a valuable resource to anyone involved with improvement of people's lives by replacing, restoring, supplementing and improving motor action, and understanding the neural bases of such functions. While there are several other resources available, there is no handbook such as this one. This handbook addresses the recent and rapid changes in the field of braincomputer interfaces (BCIs). Due to these changes interest in BCI has grown enormously, including interest from computer science researchers with a background in computational intelligence, human-computer interaction, and researchers in entertainment technology.

Autoren/Hrsg.

Nam, Chang S.

Nijholt, Anton

Lotte, Fabien

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Physiotherapie, Physikalische Therapie

Inhaltsverzeichnis

Foreword

Preface

Handbook Web Site

About the Editors

List of Contributors

List of Reviewers

Introduction: Evolution of Brain–Computer Interfaces

Fabien Lotte, Chang S. Nam and Anton Nijholt

Part I. BRAIN–COMPUTER INTERFACE APPLICATIONS

A. Brain–Computer Interfaces Introduction

1. Brain–Computer Interface: An Emerging Interaction Technology

Chang S. Nam, Inchul Choi, Amy Wadeson, and Mincheol Whang

2. Facilitating the Integration of Modern Neuroscience into Non-Invasive BCIs

Mark Wronkiewicz, Eric Larson and Adrian KC Lee

3. Passive Brain–Computer Interfaces: A Perspective on Increased Interactivity

Laurens R. Krol, Lena M. Andreessen, and Thorsten O. Zander

B. Therapeutic Applications

4. Brain–Computer Interfaces for Motor Rehabilitation, DOC Assessment and Communication

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

5. Therapeutic Applications of BCI Technologies

Dennis J. McFarland

6. Advances in Neuroprosthetics: Past, Present, and Future

Stuart M. Dambrot

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

Piotr Stawicki, Felix Gembler, and Ivan Volosyak

C. Affective and Artistic Brain–Computer Interfaces

8. Affective Brain–Computer Interfacing and Methods for Affective State Detection

Ian Daly

9. Towards Practical BCI Solutions for Entertainment and Art Performance

Paruthi Pradhapan, Ulf Großekathöfer, Giuseppina Schiavone, Bernard Grundlehner, and Vojkan Mihajlovic

10. BCI for Music Making: Then, Now, and Next

Duncan Williams and Eduardo R. Miranda



D. BCI Control of Entertainment and Multimedia

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

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

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

Josef Faller, Neil Weiss, Nicholas Waytowich, and Paul Sajda

13. Brain–Computer Interfaces and Haptics

Jan B.F. van Erp

Part II. SIGNAL ACQUISITION AND OPEN SOURCE PLATFORM IN BCI

14. Utilizing Subdermal Electrodes as a Non-invasive Alternative for Motor-based BCIs

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

15. Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex

Philip R. Kennedy, Dinal S. Andreasen, Jess Bartels, Princewill Ehirim, E. Joe Wright, Steven Seibert, Andre J. Cervantes

16. ECoG-Based BCIs

Aysegul Gündüz and Gerwin Schalk

17. BCI Software

Peter Brunner and Gerwin Schalk

Part III. SIGNAL PROCESSING, FEATURE EXTRACTION AND CLASSIFICATION IN BCI

18. Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis

Benjamin Blankertz

19. Riemannian Classification for SSVEP Based BCI: Offline Versus Online Implementations

Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy, and Florian Yger

20. The Fundamentals of Signal Processing for Evoked-Potential BCIs: A Guided Tutorial

Garett D. Johnson and Dean J. Krusienski

21. Bayesian Learning for EEG Analysis

Yu Zhang

22. Transfer Learning for BCIs

Vinay Jayaram, Karl-Heinz Fiebig, Jan Peters, and Moritz Grosse-Wentrup

Part IV. BRAIN–COMPUTER INTERFACE PARADIGMS

23. A Step-by-step Tutorial for a Motor Imagery Based BCI

Hohyun Cho, Minkyu Ahn, Moonyoung Kwon, and Sung C. Jun

24. Brain–Computer Interface and Eye Tracker as Collaborative Technologies: A Guided Tutorial

Gaye Lightbody, Chris P. Brennan, Paul J. McCullagh, and Leo Galway

25. Designing a BCI Stimulus Presentation Paradigm using a Performance-based Approach

Boyla O. Mainsah, Leslie M. Collins, and Chandra S. Throckmorton

26. Issues and Challenges in Designing P300 and SSVEP Paradigms

Ali Haider and Reza Fazel-Rezai

27. Hybrid Brain–Computer Interfaces and Their Applications

Jiahui Pan and Yuanqing Li

28. Augmenting Attention with Brain–Computer Interfaces

Mehdi Ordikhani-Seyedlar and Mikhail A. Lebedev

Part V. HUMAN FACTORS, DESIGN AND EVALUATION IN BCI

29. Towards an Usability Evaluation for Brain–Computer Interfaces

Ilsun Rhiu,Yu S. Lee, Inchul Choi, Myung H. Yun, and Chang S. Nam

30. Why User-Centered Design is Relevant for Brain–Computer Interfacing and How It can be

Implemented in Study Protocols

Sonja C. Kleih and Andrea Kübler

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

Jelena Mladenovic, Jeremie Mattout, and Fabien Lotte

32. Mind the Traps: Design Guidelines for Rigorous BCI Experiments

Camille Jeunet, Stefan Debener, Fabien Lotte, Jeremie Mattout, Reinhold Scherer, and Catharina Zich

33. Evaluation and Performance Assessment of Brain–Computer Interface System

Md Rakibul Mowla, Jane E. Huggins, and David E. Thompson

Part VI. EMERGING ISSUES AND FUTURE BCIs

34. Privacy and Ethics in Brain–Computer Interface Research

Eran Klein and Alan Rubel

35. Associative Plasticity Induced by a Brain–Computer Interface Based on Movement Related

Cortical Potentials

Natalie Mrachacz-Kersting, Ning Jiang and Dario Farina

36. Past and Future of Multi-Mind Brain–Computer Interfaces

Davide Valeriani and Ana Matran-Fernandez

37. Bi-Directional Neural Interfaces

Mikhail A. Lebedev and Alexei Ossadtchi

38. Perspectives on Brain–Computer Interfaces

Gerwin Schalk

Conclusion: Moving Forward in Brain–Computer Interfaces

Chang S. Nam, Fabien Lotte and Anton Nijholt

Author Index

Subject Index

Über Autor(innen)

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. Nam’s research interests center around brain–computer 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 brain–computer 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 brain–computer 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 Brain–Computer Interface Laboratory. His research interests include Brain–Computer 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 Brain–Computer Interfaces and Journal of Neural Engineering.