Deep Insight into fNIRS

Deep Insight into fNIRS Brain Imaging, Brain-Computer Interface, and Affective Artificial Intelligence presents insight from foundational concepts to advance-level procedures, algorithms and methodology built into a logical relationship/interface among these cutting-edge technologies. Author Umer Asgher shows readers how to link and integrate these technologies (fNIRS-BCI-AI) in a practical and applied manner. The book provides readers with a contemporary presentation of the fundamentals, theories, and diverse applications of fNIRS-BCI systems coupled with AI, creating a valuable resource for anyone involved in restoring, improving, and enhancing BCI systems. Neural Engineers, practitioners, and researchers involved in fNIRS, BCI and AI systems’ design and utilization in different ecological applications will benefit from the book, which will aid readers in understanding the theoretical background, mechanism of action, and applications. Readers will attain a full understanding of the contemporary systems to evaluate the future potential of fNIRS and modern BCI systems and formulate new ideas for using AI in academic and Industry settings. The book begins with an Introduction and Overview chapter, then proceeds to Section I on fNIRS Imaging. Section II provides a complete and detailed look at Brain-Computer Interface, which leads to the final Section III of the book on Affective AI, Neuroergonomics and BCI. The book covers topics such as optical neuroimaging, BCI and AI methodologies, history and evaluation with time, development, variants, applications, and state of the art developments. Basic science behind Brain-Computer Interface (BCI), how it works and latest trends in BCI are covered, along with how the neuroimaging methodologies are used in Brain-Computer Interface (BCI) with various stages of development and modern applications. The role of Affective Artificial Intelligence (A-AI) in the development of new BCI technologies will be discussed. Dr. Asgher explains how Affective Computing and Artificial Intelligence are entering new dimensions of emotional recognition and how these are being applied in BCI communication and systems.