Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies

This book provides an overview of different applications of brain-computer interfaces (BCIs) based on over 20 years of experience working on these interfaces. It covers BCIs for controlling robotic wheelchairs, telepresence robots, autonomous cars, and neurorehabilitation systems. It also discusses the human brain and EEG signals, and introduces BCIs based on ERD/ERS patterns, dependent-SSVEP, independent-SSVEP, and motor imagery. The book is intended for researchers, professionals, and students working on assistive technology.

Format: Paperback / softback
Length: 84 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of brain-computer interfaces (BCIs), offering a comprehensive overview based on over two decades of experience in this field. The author begins by providing a thorough review of the human brain, encompassing its anatomical and physiological aspects, with the aim of showcasing some of the patterns of electroencephalogram (EEG) signals employed in BCI control. This foundational knowledge sets the stage for exploring the diverse applications of BCIs.

The book introduces BCIs and their various uses, including:

• A BCI utilizing ERD/ERS patterns in α rhythms, enabling the control of a robotic wheelchair equipped with an augmentative and alternative communication (AAC) system.
• Another BCI employing dependent-SSVEP to control the same robotic wheelchair.
• A BCI based on SSVEP to command a telepresence robot and its onboard AAC system.
• A BCI employing SSVEP to control an autonomous car.
• A BCI utilizing independent-SSVEP (with Depth-of-Field) to control the same robotic wheelchair.
• The application of compressive techniques in SSVEP-based BCIs.
• A BCI utilizing motor imagery (through different techniques) to command a robotic monocycle and a robotic exoskeleton.
• The initial steps taken toward developing a neurorehabilitation system based on motor imagery of pedaling within an immersive virtual environment.

This book is meticulously designed to cater to researchers, professionals, and students engaged in the field of assistive technology. Its extensive coverage and detailed explanations make it an invaluable resource for those seeking to advance their understanding and expertise in BCI applications.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367502225