
Current Research in Neuroadaptive Technology
- 1st Edition - November 13, 2021
- Imprint: Academic Press
- Editors: Stephen H. Fairclough, Thorsten O. Zander
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 4 1 3 - 8
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 4 1 4 - 5
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 o… Read more

Purchase options

Institutional subscription on ScienceDirect
Request a sales quoteCurrent 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
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Chapter 1: Designing human-computer interaction with neuroadaptive technology
- Abstract
- Acknowledgement
- 1.1. Introduction
- 1.2. Can neuroadaptive technology improve the quality of human-computer interaction?
- 1.3. Design of goals for neuroadaptive technology
- 1.4. Neuroadaptive autonomy: striking a balance
- 1.5. Summary
- References
- Chapter 2: Defining neuroadaptive technology: the trouble with implicit human-computer interaction
- Abstract
- Acknowledgements
- 2.1. Introduction
- 2.2. Background
- 2.3. Defining human-computer interaction and neuroadaptive technology
- 2.4. Sample scenarios
- 2.5. Discussion
- References
- Chapter 3: The multi-stage theory of neurofeedback learning: a framework for understanding mechanisms
- Abstract
- Note
- 3.1. Introduction
- 3.2. Multi-stage theory
- 3.3. Extending the theory's reach
- 3.4. Concluding remarks
- References
- Chapter 4: Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing
- Abstract
- Acknowledgements
- 4.1. Introduction
- 4.2. Methods
- 4.3. Results
- 4.4. Discussion
- References
- Chapter 5: Tangible physiological devices for positive computing, a retrospective
- Abstract
- 5.1. Introduction (the high-level overview)
- 5.2. Background: physiological objects and spaces
- 5.3. Forewords: our take on tangible physiological devices
- 5.4. Generation 1: spatial augmented reality
- 5.5. Generation 2: electronics
- 5.6. Generation 3: modularity
- 5.7. Discussion
- 5.8. Conclusion
- 5.9. Contributions
- References
- Chapter 6: The influence of a neuroadaptive game as a distraction from pain: a fNIRS study
- Abstract
- 6.1. Pain, attention, and dynamic difficulty adjustment
- 6.2. Neuroadaptive gaming
- 6.3. Construction of a neuroadaptive game prototype
- 6.4. The creation of the neuroadaptive game
- 6.5. Evaluation of neuroadaptive technology
- 6.6. Testing neuroadaptive technology: an example
- 6.7. Summary and conclusions
- References
- Chapter 7: Ecological measures of cognitive impairments in aeronautics: theory and application
- Abstract
- Ethical statement
- Acknowledgements
- 7.1. Introduction
- 7.2. Methodological considerations
- 7.3. Experimental data
- 7.4. Discussion
- 7.5. Conclusion
- References
- Chapter 8: Transcranial Direct-Current Stimulation (tDCS) attenuates perceived temporal demand during simulated laparoscopic tasks
- Abstract
- Acknowledgements
- Note
- 8.1. Introduction
- 8.2. Methods
- 8.3. Results
- 8.4. Discussion
- 8.5. Conclusions
- References
- Chapter 9: Adaptive virtual reality
- Abstract
- 9.1. Introduction
- 9.2. Adaptive VR
- 9.3. Application of adaptive VR
- 9.4. Open loop monitoring for adaptive VR: an example
- 9.5. Conclusions
- References
- Chapter 10: Possibilities and pitfalls for the co-registration of mobile EEG and eye-tracking in the study of economic decision-making in naturalistic settings
- Abstract
- List of abbreviations
- Acknowledgements
- 10.1. Introduction
- 10.2. Value processing and the brain
- 10.3. Embodied decision making and the MoBI approach
- 10.4. Using mobile EEG and eye-tracking to examine economic decisions for products
- 10.5. General summary and future directions
- References
- Chapter 11: The impact of electrode shifts on BCI classifier accuracy
- Abstract
- 11.0. Introduction
- 11.1. Theoretical background
- 11.2. Investigation of electrode shifts in BCI
- 11.3. Conclusion
- References
- Chapter 12: Walking improves the performance of a brain-computer interface for group decision making
- Abstract
- Acknowledgements
- 12.1. Introduction
- 12.2. Methods
- 12.3. Results
- 12.4. Discussions and conclusions
- References
- Chapter 13: Spontaneous radiofrequency emission from electron spins within Drosophila: a novel biological signal
- Abstract
- Contributions
- Acknowledgements
- 13.1. Introduction
- 13.2. Results
- 13.3. Resonator experiments at 2.6 GHz
- 13.4. Radiofrequency emission during activation of the nervous system by temperature-sensitive cation channels
- References
- Abstracts from the First Neuroadaptive Technology Conference, 2017
- COGNITIVE PROBING FOR AUTOMATED NEUROADAPTATION
- ENDOWING THE MACHINE WITH ACTIVE INFERENCE: A GENERIC FRAMEWORK TO IMPLEMENT ADAPTIVE BCI
- LEARNING FROM LABEL PROPORTIONS IN BCI: A SYMBIOTIC DESIGN FOR STIMULUS PRESENTATION AND SIGNAL DECODING
- FROM UNIVARIATE TO MULTIVARIATE ANALYSIS OF fNIRS DATA
- A GENERALIZED DEEP LEARNING FRAMEWORK FOR CROSS-DOMAIN LEARNING IN BRAIN COMPUTER INTERFACES
- TIME-FREQUENCY SENSITIVITY CHARACTERIZATION OF SINGLE-TRIAL OSCILLATORY EEG COMPONENTS
- EEG, ECG AND EOG RESPONSES TO AUTOMATED, REAL DRIVING
- CLASSIFICATION OF CONCENTRATION LEVELS USING DEEP NEURAL NETWORKS
- ASSESSING IMPLICIT ATTITUDES DURING HUMAN-TECHNOLOGY INTERACTION BASED ON NEUROELECTRICAL EVIDENCE
- BETWEEN-SUBJECT TRANSFER LEARNING FOR CLASSIFICATION OF ERROR-RELATED SIGNALS IN HIGH-DENSITY EEG
- TRACING RHYTHMIC REGULARITY PROCESSING: BEAT-BASED BETA POWER MODULATION IN EEG SOURCE SPACE
- EXPRESS ESTIMATION OF BRAIN RHYTHM POWER FOR LOW-LATENCY NEUROFEEDBACK
- INVESTIGATING NEUROADAPTIVE TECHNOLOGY FOR SPEED READING APPLICATIONS
- TOWARD NEUROADAPTIVE PERSONAL LEARNING ENVIRONMENTS
- GAZE DIRECTION AND THE EEG MARKER FOR INTENTION/EXPECTATION IN HYBRID INTERFACES
- WEARABLE SENSORS, DRIVING AND THE VISUALIZATION OF CARDIOVASCULAR STRESS DURING EVERYDAY LIFE
- EVALUATING FNIRS-BASED WORKLOAD DISCRIMINATION IN A REALISTIC DRIVING SCENARIO
- FIVE LAYER MODEL FOR PHYSIOLOGICAL COMPUTING
- DETECTION OF FEEDBACK-RELATED MENTAL STATES WITH ERROR-RELATED SPECTRAL PERTURBATION
- A COLLABORATIVE BCI TRAINED TO AID GROUP DECISIONS IN A VISUAL SEARCH TASK WORKS WELL WITH SIMILAR TASKS
- PASSIVE BCI TOOLS FOR MENTAL STATE ESTIMATION IN AEROSPACE APPLICATIONS
- CORTICO-CORTICAL SPECTRAL RESPONSES ELICITED BY CLOSED LOOP STIMULATION IN THE SHEEP SOMATOSENSORY CORTEX
- CLASSIFICATION OF EMOTIONS USING CONVOLUTIONAL NEURAL NETWORKS – AN EEG STUDY
- CLASSIFICATION OF CORTICAL RESPONSES TO VISUAL TARGETS DURING A PHYSICAL-COGNITIVE INTERACTION TASK
- INVESTIGATING RESPONSES TO LETTER PRESENTATIONS IN A SEGMENT SPELLER
- USING BCIS FOR BENCHMARKING ADAPTIVE AND LOW-RESOLUTION DAQ EEG APPROACHES
- INTELLIGENT THRESHOLD SELECTION FOR BIOCYBERNETIC LOOP IN AN ADAPTIVE VIDEO GAME CONTEXT
- MOBILE BRAIN / BODY IMAGING (MoBI) OF PHYSICAL INTERACTION WITH DYNAMICALLY MOVING OBJECTS
- EEG AND EMG SYNCHRONIZATION AND JITTER ESTIMATION FOR MOBI EXPERIMENTS
- NEURAL CORRELATES OF HUMAN SINGLE- AND DUAL-TASK NATURAL WALKING IN THE URBAN ENVIRONMENT
- NEUROETHICS FOR NEUROADAPTIVE TECHNOLOGY: THE CASE OF PASSIVE BRAIN-COMPUTER INTERFACES
- HACKING MINDS, HACKING BRAINS, HACKING AUGMENTED BODIES: ETHICAL ASPECTS OF NEUROHACKING
- EVALUATING BRAIN READING'S PRACTICAL APPLICABILITY
- INTERACTING WITH WEARABLE COMPUTERS BY MEANS OF FUNCTIONAL ELECTRICAL MUSCLE STIMULATION
- MEASURING ACADEMIC STRESS ‘IN THE WILD’ WITH WEARABLE SENSORS: REMOVAL OF NOISE FROM WEARABLE SENSOR DATA USING FIR FILTERS
- MOBILE BRAIN/BODY IMAGING (MOBI) OF SPATIAL KNOWLEDGE ACQUISITION DURING UNCONSTRAINED EXPLORATION IN VR
- SIGNAL ANALYSIS OF MOTOR IMAGERY TASKS FOR SELF-PACED BCI APPLICATIONS
- FUNCTIONAL CORTICAL NETWORKS FOR AUDITORY DISTRACTOR SUPRESSION DURING A REALISTIC VISUAL SEARCH TASK
- RE-THINKING BCI MODELS AS NOISY SENSORS FOR NEURAL ANALYSIS
- A BIOFEEDBACK APPROACH TO INVESTIGATE NEUROCOGNITIVE MECHANISMS OF FEEDBACK-BASED LEARNING
- FINDING EEG FREQUENCY BANDS RELATED TO CONCENTRATION
- DEVELOPMENT OF A NEUROADAPTIVE GAMING TECHNOLOGY TO DISTRACT FROM PAINFUL PROCEDURES
- CORTICAL SOURCE LOCALIZATION OF EEG BIOMARKERS IN A COGNITIVE BRAIN-COMPUTER INTERFACE MONITORING WORKING MEMORY LOAD
- DESIGNING AND UNDERSTANDING CONVOLUTIONAL NETWORKS FOR DECODING EXECUTED MOVEMENTS FROM EEG
- SIGMABOX: TOWARDS A SIMPLE AND EFFICIENT MATLAB TOOLBOX FOR EEG SIGNAL PROCESSING AND CLASSIFICATION
- EEG-BASED BIOMETRIC AUTHENTICATION: A PRELIMINARY STUDY
- MEASURING COGNITIVE CONFLICT IN VIRTUAL REALITY
- NEUROPHYSIOLOGICAL CORRELATES OF EFFICIENT LEARNING IN THE NEUROFEEDBACK PARADIGM
- USER IDENTIFICATION FROM FNIRS DATA USING DEEP LEARNING
- ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP
- LABELLING OF MOVEMENT ONSETS BASED ON EXOSKELETON JOINT DATA
- INVESTIGATING METRICS FOR MEASURING AND REMINDING MINDFULNESS OF SCHOOL STUDENTS
- Abstracts from the Second Neuroadaptive Technology Conference, 2019
- TOWARDS AN ETHICAL DEFINITORY FRAMEWORK FOR BOTH TRADITIONAL AND NOVEL HUMAN-COMPUTER INTERACTION PARADIGMS
- A NEUROADAPTIVE APPROACH TO ANALGESIC GAMING
- INVESTIGATING THE INFLUENCE OF RSVP DISPLAY PARAMETERS ON WORKING MEMORY LOAD USING ELECTROENCEPHALOGRAPHY
- TOWARDS BUILDING NEUROADAPTIVE READING APPLICATIONS: ASSESSING DIFFERENCES IN MENTAL WORKLOAD INDUCED BY TEXT READABILITY LEVELS AND PRESENTATION SPEEDS ON SINGLE-SUBJECT LEVEL
- CAAD MODELING WITH VISUAL-ERP BCI
- MAY ALPHA NEUROFEEDBACK AFFECT MOTOR IMAGERY BCI PERFORMANCE?
- DIFFERENTIAL EFFECTS OF NEUROFEEDBACK LATENCY ON THE INCIDENCE RATE, AMPLITUDE AND DURATION OF ALPHA-BURSTS
- MULTI-STAGE THEORY OF NEUROFEEDBACK LEARNING
- MODULAR BIOFEEDBACK: BUILD YOUR OWN TANGIBLE EXPERIENCE
- MODELING BIOCYBERNETIC ADAPTATION THROUGH FEEDBACK CONTROL SYSTEMS PRINCIPLES: IMPLICATIONS IN HUMAN-COMPUTER INTERACTION AND VIRTUAL REALITY APPLICATIONS
- ON THE USE OF PHYSIOLOGICAL MEASURES TO MONITOR OPERATOR DYADS
- THE AUTOMATIC CLASSIFICATION OF HUMAN FACTORS ASSOCIATED WITH DECISIONS INVOLVING RISK DURING DRIVING SIMULATION
- TOWARDS NEUROADAPTIVE TECHNOLOGY USING TIME WARPED DISTANCES FOR SIMILARITY EXPLORATION OF BRAIN DATA
- ATTENTIONAL CONTROL DURING THE FLOW EXPERIENCE IN VIRTUAL REALITY GAMES
- EXAMINING ECONOMIC DECISIONS FOR HOUSEHOLD PRODUCTS USING MOBILE EEG
- WALKING IMPROVES THE PERFORMANCE OF A BRAIN-COMPUTER INTERFACE FOR GROUP DECISION MAKING
- FEMG AND EMOTION IN VIRTUAL REALITY
- PROMOTING DIGITAL WELLBEING THROUGH REAL-TIME STATE CLASSIFICATION OF PSYCHOPHYSIOLOGICAL SENSOR NETWORKS
- GROUP EYE TRACKING RESEARCH AND APPLICATIONS
- APPLICATION OF DEEP LEARNING IN LIP READING
- SPONTANEOUS RADIOFREQUENCY EMISSION FROM NONEQUILIBRIUM ELECTRON SPINS WITHIN DROSOPHILA
- SINGLE SESSION TRANSCRANIAL DIRECT CURRENT STIMULATION (TDCS) CAN IMPROVE ROBOTIC SUTURING SKILLS IN SURGICAL TRAINEES
- APPREHENDING AUDITORY ACTIVITY IN ECOLOGICAL CONTEXTS WITH UNOBTRUSIVE EEG
- THE IMPACT OF ELECTRODE SHIFTS ON BCI CLASSIFIER ACCURACY
- N170 COMPONENTS OF REAL AND COMPUTER-GENERATED FACIAL IMAGES
- USING LINEAR DECONVOLUTION TO ACCOUNT FOR OVERLAPPING BRAIN POTENTIALS: AN EYE-FIXATION RELATED POTENTIALS STUDY
- ISOLATING AFFECTIVE INFLUENCES ON IMPLICIT CURSOR CONTROL
- Index
- Edition: 1
- Published: November 13, 2021
- Imprint: Academic Press
- No. of pages: 482
- Language: English
- Paperback ISBN: 9780128214138
- eBook ISBN: 9780128214145
SF
Stephen H. Fairclough
TZ