The book “Applications of Artificial Intelligence to Brain-Computer Interfaces” focuses on the advances, challenges, and prospects of future technologies including noninvasive brain-computer interfaces (BCIs). It covers multimodal signal processing and analysis, integrated computational acquisition devices, and implantable neural techniques.
This book not only presents interdisciplinary research in BCIs, but also diverse applications in the fields of telerehabilitation, emotion recognition, neurorehabilitation, cognitive workload assessment, and ambient assisted living solutions.
In 15 chapters, this book describes how BCIs connect the brain to external devices such as computers and electronic gadgets. It analyzes the brain’s neural signals to gain insights into brain patterns using several noninvasive wearable sensors. This book provides insight into how sensor results are processed through intelligent machine models for inference. Each chapter begins with a significance, problem statement, and motivation. A description of the proposed methodology is provided, and related works are also provided.
Each chapter can be read independently, and therefore, this book is a valuable resource for researchers, healthcare professionals, graduate students, postdoctoral fellows, and academics in the fields of BCI, prosthetics, computer vision, and mental state estimation, and all those who wish to expand their knowledge in related fields.
