Current Research in Neuroadaptive Technology

Produktbeschreibung

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 

Inhaltsverzeichnis

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