Brain-Computer Interfaces for Neuroadaptive Human-Computer Interaction

Erscheinungsjahr 2020
ISBN: 978-0-12-814052-9
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm

Brain-Computer Interfaces for Neuroadaptive Human-Computer Interaction provides comprehensive and rigorous coverage of human-computer interaction (HCI), psychology, neuroscience, engineering, and brain-computer interfaces (BCI). This leading-edge book provides researchers in the field with an understanding of the relevance and application of BCI methods and solutions in the context of HCI and human-machine systems. BrainComputer Interface provides readers with a broad survey of relevant themes, as well as comprehension of the underlying concepts.

Furthermore, the book provides fundamental skills necessary to design and set up experiments, and evaluate the results. To this end, the book comprises theoretical sections, as well as explicit instructions, discussions of important questions, summaries, and exercises. Specific points are illustrated using examples of actual experiments and applications, and coverage includes neurophysiological concepts that are relevant to BCI, a history of BCI ideas, methods, and research, fundamentals of experimental BCI research and design, the why and how of applying BCI in HCI contexts, as well as signal processing and machine learning methods using open-source toolboxes.

Zielgruppe

<p>Biomedical engineers, neural engineers, clinical engineers, researchers in clinical healthcare and biomedical science</p>

Autoren/Hrsg.

Zander, Thorsten O

Ruben Krol, Laurens

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

Part I. Building up a theoretical background for Brain-Computer Interface-based applications in Human-Machine Systems1. Human-Machine Systems2. Brain-Computer Interfacing in a nutshell 2.1. BCI research3. An overview of current research in the field of BCI4. Neuroscientific Background5. Techniques from Signal Processing and Machine Learning6. A broadened approach to Brain-Computer Interfaces

Part II. Studies on passive BCIs 7. Benchmarking classification schemes for movement related brain activity8. A passive BCI for detecting perceived loss of control 9. A passive BCI for automated adaptation based on error responses

Part III. Studies on the optimization of applicability of current BCI systems10. A hybrid BCI combining gaze and BCI control for touchless HMI11. A validation study of dry electrodes

Part IV. Discussion, Conclusions and Outlook12. Discussion13. Conclusions14. Outlook

Über Autor(innen)

Zander, Thorsten O
Dr. Thorsten Zander took a degree in Mathematics at the Westfalische Wilhelms-Universitat, Munster, Germany, and his doctorate at the Institute of Human-Machine-Systems at Technical University Berlin, before embarking on a distinguished career at various research institutions, including Affiliated Research Scientist at the Institute for Knowledge at Technical University Graz, Austria, Project Leader at Max-Planck-Institute for Intelligent Systems, and ongoing habilitation process in the Department of Psychology and Ergonomics at Technical University Berlin. Dr. Zander is currently Chair for Neuroadaptive Human-Computer Interaction, Brandenburg Technical University, Germany. Dr. Zander is also an International Affiliate of the Learning, Educational Achievement, and Life Course Development (LEAD) excellence graduate school at the University of Tuebingen, Germany. Dr. Zander has been active in development and partnership with industry, including foundation and leadership of Zander Laboratories B.V., Scientific Advisor at Eagle Science B.V., Scientific Advisor at Brain Vision LLC, and Scientific Advisor at Brain Products. In addition, Dr. Zander also has many scientific achievements, including definition and validation of Passive Brain-Computer-Interfaces, foundation and leadership of the Community for Passive BCI Research, foundation and leadership of the Team PhyPA working group at Technical University Berlin, and co-foundation of Implicit Human-Technology Interaction