FOR IMMEDIATE RELEASE
Man and Machine: Brain-Computer Interfaces Handbook Addresses Rapid Changes in its Field
February 26, 2018
Dr. Chang S. Nam, Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at NC State University, along with co-editors Drs. Anton Nijholt and Fabien Lotte have provided the answers to the recent and rapid changes in the field of brain-computer interfaces (BCI) with the release of the Brain-Computer Interfaces Handbook.
These recent changes have created an enormous interest in BCI. In fact, the research committee of the European Union, a large consortium of European BCI research groups, wrote and commissioned the publishing of a Roadmap for BCI research (Spring 2015, http://bnci-horizon-2020.eu/roadmap).
“This handbook is to provide researchers, students, and practitioners – including those with no formal training in BCI research and development – with a synopsis of key findings, and theoretical and technical advances from BCI-related fields,” explained Dr. Nam. “In addition, readers should better understand the underlying neural bases of human brains and possess new insights into interfacing human brains with computing systems.”
“BCI allows users, in particular, those who cannot use their muscles but are cognitively intact, to perform tasks such as writing sentences by selecting letters, moving a cursor on a computer screen, even controlling an orthopedic device that provides a graspable hand,” said Dr. Nam. “Systems or environments can also be adaptive to changes in the states of neural modules responsible for the execution of particular functions.”
Features of the BCI Handbook
- In-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user’s intention
- Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments
- Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, etc.
- Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI
- Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs
The BCI Handbook has 788 pages that include 79 color and 129 black & white illustrations. It can be viewed at https://www.crcpress.com/BrainComputer-Interfaces-Handbook-Technological-and-Theoretical-Advances/Nam-Nijholt-Lotte/p/book/9781498773430.
Print-quality image of BCI Handbook
Web-quality image of BCI Handbook
About NC State ISE:
NC State University’s Edward P. Fitts Department of Industrial and Systems Engineering is among the top-ranked programs in the country. The department brings together industry professionals and academic leaders across innovative and cutting-edge curriculum and technology development, including smart manufacturing, regenerative medicine, health systems, 3D printing and more.
About the Editors:
Chang S. Nam is an associate professor of the Edward P. Fitts Industrial and Systems Engineering at North Carolina State University. He is the author or co-author of over 70 research publications including journal articles, books, book chapters, and conference proceedings. Dr. Nam’s research interests center on brain-computer interface and rehabilitation, wearable sensor-based remote healthcare, neuroergonomics, neuroadaptive automation in large-scale unmanned aerial vehicles (UAVs), and haptic-user interaction.
Anton Nijholt is Professor Emeritus of the University of Twente, the Netherlands and research-fellow at the Imagineering Institute in Iskandar, Malaysia. Nijholt is the author of hundreds of research papers and he is editor of books on brain-computer interfaces, entertainment computing, playful interfaces and playable cities. Dr. Nijholt’s research focuses on natural language processing, human-computer interaction, multi-party interaction, and brain-computer interfacing.
Fabien Lotte is a Research Scientist (with tenure) at Inria Bordeaux Sud-Ouest, France. He is the author or co-author of about 100 publications, several of which published in the best journals (e.g., Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Proceedings of the IEEE, IEEE Transactions on Signal Processing, etc.) and conferences (ICASSP, UIST, CHI, etc.) in these fields. His research interests include Brain-Computer Interfaces (BCI), human-computer interaction, pattern recognition and brain signal processing.