LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Book sale: Save up to 25% on print and eBooks. No promo code needed.
Save up to 25% on print and eBooks.
1st Edition - November 1, 2018
Authors: Thorsten O. Zander, Laurens Ruben Krol
Brain-Computer Interfaces for Neuroadaptive Human-Computer Interaction provides comprehensive and rigorous coverage of human-computer interaction (HCI), psychology, neuroscience,… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
Biomedical engineers, neural engineers, clinical engineers, researchers in clinical healthcare and biomedical science
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
TZ
LR