Current Research in Neuroadaptive Technology

by Stephen H. Fairclough (Editor), Thorsten O. Zander (Editor)

Overview

Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics. - Includes applications of neuroadaptive technology in a variety of disciplines - Comprises in-depth technical coverage of Passive Brain-Computer Interfaces, Physiological Computing, Affective Computing, Neurofeedback, and Closed-Loop Human-Computer Interaction - Covers topics such as monitoring safety-critical behaviour, brain-computer interfaces, neurofeedback, virtual reality, neurostimulation, tangible interfaces, mobile brain-body imaging, system taxonomy and ethical implications of neuroadaptive technology - Covers applied research using techniques such as: EEG, fNIRS, eye-tracking, psychophysiology, spontaneous radio frequency transmission and tDCS - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and its applications

Product Details

ISBN-13:	9780128214145
Publisher:	Elsevier Science & Technology Books
Publication date:	11/13/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	482
File size:	36 MB
Note:	This product may take a few minutes to download.

About the Author

Stephen Fairclough obtained his undergraduate degree in Psychology from University of Central Lancashire in 1985. He received his PhD from Loughborough University in 2000 where he worked as a Research Fellow at Human Sciences and Advanced Technology (HUSAT) Research Centre. He currently is a Professor of Psychophysiology in the School of Psychology at Liverpool John Moores University (LJMU). He has been involved in applied psychophysiological and neuroscientific research for over twenty-five years. His main areas of methodological expertise cover EEG, fNIRS and cardiovascular in both laboratory and field settings. He is a director on the Executive of the Human Factors and Ergonomics Society (European Chapter) and a member of the editorial board for IEEETransactions of Affective Computing. He has co-edited two collections on physiological computing research and four journal special issues. He is currently one of the General Chairs for the Neuroadaptive Technology Conference and co-founder and co-leaderof the Society for Neuroadaptive Technology.
Dr. Thorsten Zander took a degree in Mathematics at the Westfalische Wilhelms-Universitat, Munster, Germany, and his doctorate at the Institute of Human-Machine-Systems at Technical University Berlin, before embarking on a distinguished career at various research institutions, including Affiliated Research Scientist at the Institute for Knowledge at Technical University Graz, Austria, Project Leader at Max-Planck-Institute for Intelligent Systems, and ongoing habilitation process in the Department of Psychology and Ergonomics at Technical University Berlin. Dr. Zander is currently Chair for Neuroadaptive Human-Computer Interaction, Brandenburg Technical University, Germany. Dr. Zander is also an International Affiliate of the Learning, Educational Achievement, and Life Course Development (LEAD) excellence graduate school at the University of Tuebingen, Germany. Dr. Zander has been active in development and partnership with industry, including foundation and leadership of Zander Laboratories B.V., Scientific Advisor at Eagle Science B.V., Scientific Advisor at Brain Vision LLC, and Scientific Advisor at Brain Products.In addition, Dr. Zander also has many scientific achievements, including definition and validation of Passive Brain-Computer-Interfaces, foundation and leadership of the Community for Passive BCI Research, foundation and leadership of the Team PhyPA working group at Technical University Berlin, and co-foundation of Implicit Human-Technology Interaction

Table of Contents

1. Designing Human-Computer Interaction with Neuroadaptive Technology2. Defining Neuroadaptive Technology: The Trouble with Implicit Human-Computer Interaction3. The Multi-Stage Theory of Neurofeedback Learning: A Framework for Understanding Mechanisms4. Towards Neuroadaptive Modeling: Assessing the Cognitive States of Pilots through Passive Brain-Computer Interfacing5. Tangible Physiological Devices for Positive Computing, a Retrospective6. The Influence of a Neuroadaptive Game as Distraction from Pain: A fNIRS study7. Ecological Measures of Cognitive Impairments in Aeronautics: Theory and Application8. Transcranial Direct-Current Stimulation (tDCS) Attenuates Perceived Temporal Demand During Simulated Laparoscopic Tasks9. Adaptive Virtual Reality10. Possibilities and Pitfalls for the Co-Registration of Mobile EEG and Eye- Tracking in the Study of Economic Decision-Making in Naturalistic Settings11. The impact of electrode shifts on BCI Classifier accuracy12. Walking Improves The Perfomance of a Brain-Computer Interface for Group Decision Making13. Spontaneous Radiofrequency Emission from Electron Spins within Drosophila: a novel biological signal AppendixA. Abstracts from the First Neuroadaptive Technology Conference, 2017B. Abstracts from the Second Neuroadaptive Technology Conference, 2019

What People are Saying About This

From the Publisher

Examines the latest research in neuroadaptive technology and its applications to human-computer interaction, signal processing, machine learning, applied neuroscience