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.
- Provides examples of actual experiments and applications using human-computer interaction (HCI)
- Covers neurological concepts relevant to BCI history, ideas, methods, and research, including why and how to apply BCI in HCI contexts
- Includes signal processing and machine learning methods using open-source toolboxes
