Current Research in Neuroadaptive Technology

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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.

Author(s): Stephen H. Fairclough, Thorsten O. Zander
Publisher: Academic Press
Year: 2021

Language: English
Pages: 482
City: London

Front Cover
Current Research in Neuroadaptive Technology
Copyright
Contents
List of contributors
Preface
1 Designing human-computer interaction with neuroadaptive technology
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
Acknowledgment
References
2 Defining neuroadaptive technology: the trouble with implicit human-computer interaction
2.1 Introduction
2.2 Background
2.2.1 Neuroadaptive technology
2.2.2 Human-computer interaction
2.3 Defining human-computer interaction and neuroadaptive technology
2.3.1 Units and their interface
2.3.2 Data and information
2.3.3 Implicit and explicit
2.3.4 Control and interaction
2.3.5 System and user
2.3.6 The big picture
2.4 Sample scenarios
2.5 Discussion
Acknowledgments
References
3 The multi-stage theory of neurofeedback learning: a framework for understanding mechanisms
3.1 Introduction
3.1.1 Theories of neurofeedback learning
3.2 Multi-stage theory
3.2.1 Stage 1: striatal learning
3.2.2 Stage 2: thalamic consolidation
3.2.3 Stage 3: interoceptive homeostasis
3.2.4 Evaluation
3.2.4.1 How does the model explain learning success?
3.2.4.2 What are the optimal feedback parameters?
3.2.4.3 Can the theory suggest new protocols or practices?
3.3 Extending the theory's reach
3.3.1 Beyond EEG neurofeedback
3.3.2 Human-computer symbiosis: collaborative learning
3.4 Concluding remarks
Note
References
4 Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing
4.1 Introduction
4.2 Methods
4.2.1 Participants
4.2.2 EEG set-up and training data
4.2.3 Simulator flight
4.2.4 Data analysis
4.2.4.1 Preprocessing
4.2.4.2 Classification
4.2.5 Cognitive model
4.3 Results
4.3.1 Oddball performance
4.3.2 Oddball classification and neurophysiology
4.3.3 In-flight classification
4.3.4 Model improvement
4.4 Discussion
Acknowledgments
References
5 Tangible physiological devices for positive computing, a retrospective
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
6 The influence of a neuroadaptive game as a distraction from pain: a fNIRS study
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
7 Ecological measures of cognitive impairments in aeronautics: theory and application
7.1 Introduction
7.2 Methodological considerations
7.2.1 Electrode location
7.2.2 Pre-processing
7.2.3 Further processing and analyses
7.2.4 Overcoming limitations
7.3 Experimental data
7.3.1 Materials and methods
7.3.1.1 Participants
7.3.1.2 Experimental task and procedure
7.3.1.2.1 Flying scenarios
7.3.1.2.2 Oddball task
7.3.1.2.3 Procedure
7.3.2 Measure and analysis
7.3.2.1 Behavioral data
7.3.2.2 Electroencephalography
7.3.3 Results
7.3.3.1 Behavioral data
7.3.3.2 EEG measures
7.3.3.2.1 Electrode location
7.3.3.2.2 ERP analysis
7.3.3.2.3 Spectral analysis
7.4 Discussion
7.5 Conclusion
Ethical statement
Acknowledgments
References
8 Transcranial Direct-Current Stimulation (tDCS) attenuates perceived temporal demand during simulated laparoscopic tasks
8.1 Introduction
8.2 Methods
8.2.1 Participants
8.2.2 Experimental design
8.2.3 Laparoscopic tasks
8.2.4 Transcranial direct-current stimulation
8.2.5 Primary outcome measure - subjective workload
8.2.6 Secondary outcome measures
8.2.7 Statistical methods
8.2.8 Sample size calculation
8.3 Results
8.3.1 SURG-TLX
8.3.2 Overall task completion
8.3.3 Completion time
8.3.4 Instrument measures of skill
8.3.4.1 Movements
8.3.4.2 Path length
8.3.4.3 Instrument speed
8.3.5 Error score
8.3.6 Side effects
8.3.7 Placebo assessment
8.4 Discussion
8.4.1 Reduction in perceived TD
8.4.2 Technical performance
8.4.3 Technical considerations and limitations
8.4.4 Real-world significance
8.4.5 Longitudinal learning effects
8.5 Conclusions
Acknowledgments
Note
References
9 Adaptive virtual reality
9.1 Introduction
9.2 Adaptive VR
9.2.1 Adaptive VR as a closed-loop system
9.2.2 Types of Adaptive Interactive Mechanisms (AIM) in room-scale VR
9.2.2.1 Aesthetics
9.2.2.2 Self representation
9.2.2.3 Physics
9.2.2.4 Objects and agents
9.3 Application of adaptive VR
9.4 Open loop monitoring for adaptive VR: an example
9.4.1 Risk ratio
9.4.2 Predicting individual differences based on AIM
9.4.3 Predicting behavioral outcomes based on AIM
9.5 Conclusions
References
10 Possibilities and pitfalls for the co-registration of mobile EEG and eye-tracking in the study of economic decision-making in naturalistic settings
10.1 Introduction
10.2 Value processing and the brain
10.2.1 Brain structures within the brain valuation network
10.2.2 Measures used to elicit subjective values
10.2.3 Electrophysiological correlates
10.3 Embodied decision making and the MoBI approach
10.3.1 Practical considerations/methodological issues for measuring ERPs in the wild; the co-registration of EEG and eye-tracking
10.3.2 MoBI and eye-tracking solutions for real-world neuroimaging
10.4 Using mobile EEG and eye-tracking to examine economic decisions for products
10.4.1 Methods
10.4.2 Results
10.4.3 Discussion and conclusions
10.5 General summary and future directions
Acknowledgments
References
11 The impact of electrode shifts on BCI classifier accuracy
11.0 Introduction
11.1 Theoretical background
11.1.1 Influence of electrode shifts on the recorded data
11.1.2 Spatial filter weight of the shifted electrodes
11.2 Investigation of electrode shifts in BCI
11.2.1 Hypotheses and research questions
11.2.2 Methods
11.2.2.1 Paradigm
11.2.2.2 Data generation
11.2.2.3 Classification
11.2.2.4 Data analysis
11.2.3 Results
11.2.4 Discussion
11.3 Conclusion
References
12 Walking improves the performance of a brain-computer interface for group decision making
12.1 Introduction
12.2 Methods
12.2.1 Participants
12.2.2 Experiment
12.2.3 Data recording and pre-processing
12.2.4 Neural-based confidence estimation
12.2.5 Group decisions
12.3 Results
12.3.1 Individual behavioral performance while walking and sitting
12.3.2 Event-related potential analysis between walking and sitting conditions
12.3.3 Group performance
12.4 Discussions and conclusions
Acknowledgments
References
13 Spontaneous radiofrequency emission from electron spins within Drosophila: a novel biological signal
13.1 Introduction
13.1.1 Chirally induced spin polarization
13.1.2 Detection of radiofrequency emissions
13.1.3 Methods
13.1.4 C-band (4.5–4.8 GHz) waveguide setup
13.1.5 S-band (2.6 GHz) resonator setup
13.2 Results
13.2.1 General remarks
13.2.2 Waveguide experiments at 4.5–4.8 GHz
13.3 Resonator experiments at 2.6 GHz
13.3.1 Slow recordings
13.3.2 Fast recordings
13.4 Radiofrequency emission during activation of the nervous system by temperature-sensitive cation channels
13.4.1 Discussion
Contributions
Acknowledgments
References
Abstracts from the First Neuroadaptive Technology Conference, 2017
COGNITIVE PROBING FOR AUTOMATED NEUROADAPTATION
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
CONCLUSION
REFERENCES
ENDOWING THE MACHINE WITH ACTIVE INFERENCE: A GENERIC FRAMEWORK TO IMPLEMENT ADAPTIVE BCI
ABSTRACT
INTRODUCTION
METHODS
RESULTS
CONCLUSION
REFERENCES
LEARNING FROM LABEL PROPORTIONS IN BCI: A SYMBIOTIC DESIGN FOR STIMULUS PRESENTATION AND SIGNAL DECODING
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
FROM UNIVARIATE TO MULTIVARIATE ANALYSIS OF fNIRS DATA
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES
A GENERALIZED DEEP LEARNING FRAMEWORK FOR CROSS-DOMAIN LEARNING IN BRAIN COMPUTER INTERFACES
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
DISCUSSION
CONCLUSION
REFERENCES
TIME-FREQUENCY SENSITIVITY CHARACTERIZATION OF SINGLE-TRIAL OSCILLATORY EEG COMPONENTS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
EEG, ECG AND EOG RESPONSES TO AUTOMATED, REAL DRIVING
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CLASSIFICATION OF CONCENTRATION LEVELS USING DEEP NEURAL NETWORKS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS & DISCUSSION
CONCLUSION
REFERENCES
ASSESSING IMPLICIT ATTITUDES DURING HUMAN-TECHNOLOGY INTERACTION BASED ON NEUROELECTRICAL EVIDENCE
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
BETWEEN-SUBJECT TRANSFER LEARNING FOR CLASSIFICATION OF ERROR-RELATED SIGNALS IN HIGH-DENSITY EEG
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
TRACING RHYTHMIC REGULARITY PROCESSING: BEAT-BASED BETA POWER MODULATION IN EEG SOURCE SPACE
ABSTRACT
INTRODUCTION
METHODS
DISCUSSION
CONCLUSION
REFERENCES
EXPRESS ESTIMATION OF BRAIN RHYTHM POWER FOR LOW-LATENCY NEUROFEEDBACK
ABSTRACT
INTRODUCTION
METHOD
RESULTS
CONCLUSION
REFERENCES
INVESTIGATING NEUROADAPTIVE TECHNOLOGY FOR SPEED READING APPLICATIONS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
TOWARD NEUROADAPTIVE PERSONAL LEARNING ENVIRONMENTS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION AND CONCLUSION
REFERENCES
GAZE DIRECTION AND THE EEG MARKER FOR INTENTION/EXPECTATION IN HYBRID INTERFACES
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
CONCLUSION
REFERENCES
WEARABLE SENSORS, DRIVING AND THE VISUALIZATION OF CARDIOVASCULAR STRESS DURING EVERYDAY LIFE
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION AND CONCLUSION
REFERENCES
EVALUATING FNIRS-BASED WORKLOAD DISCRIMINATION IN A REALISTIC DRIVING SCENARIO
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
CONCLUSION
REFERENCES
FIVE LAYER MODEL FOR PHYSIOLOGICAL COMPUTING
ABSTRACT
INTRODUCTION
THE MODEL
DISCUSSION
REFERENCES
DETECTION OF FEEDBACK-RELATED MENTAL STATES WITH ERROR-RELATED SPECTRAL PERTURBATION
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
ACKNOWLEDGEMENTS
REFERENCES
A COLLABORATIVE BCI TRAINED TO AID GROUP DECISIONS IN A VISUAL SEARCH TASK WORKS WELL WITH SIMILAR TASKS
ABSTRACT
INTRODUCTION
METHODS
RESULTS
CONCLUSIONS
REFERENCES
ACKNOWLEDGMENTS
PASSIVE BCI TOOLS FOR MENTAL STATE ESTIMATION IN AEROSPACE APPLICATIONS
ABSTRACT
RESEARCH
REFERENCES
CORTICO-CORTICAL SPECTRAL RESPONSES ELICITED BY CLOSED LOOP STIMULATION IN THE SHEEP SOMATOSENSORY CORTEX
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
CLASSIFICATION OF EMOTIONS USING CONVOLUTIONAL NEURAL NETWORKS – AN EEG STUDY
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
CLASSIFICATION OF CORTICAL RESPONSES TO VISUAL TARGETS DURING A PHYSICAL-COGNITIVE INTERACTION TASK
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION AND CONCLUSION
REFERENCES
INVESTIGATING RESPONSES TO LETTER PRESENTATIONS IN A SEGMENT SPELLER
ABSTRACT
INTRODUCTION
MATERIAL AND METHODS
RESULTS
DISCUSSION
ACKNOWLEDGMENTS
REFERENCES
USING BCIS FOR BENCHMARKING ADAPTIVE AND LOW-RESOLUTION DAQ EEG APPROACHES
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
CONCLUSIONS
REFERENCES
INTELLIGENT THRESHOLD SELECTION FOR BIOCYBERNETIC LOOP IN AN ADAPTIVE VIDEO GAME CONTEXT
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
DISCUSSION AND CONCLUSION
REFERENCES
MOBILE BRAIN / BODY IMAGING (MoBI) OF PHYSICAL INTERACTION WITH DYNAMICALLY MOVING OBJECTS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
EEG AND EMG SYNCHRONIZATION AND JITTER ESTIMATION FOR MOBI EXPERIMENTS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES
NEURAL CORRELATES OF HUMAN SINGLE- AND DUAL-TASK NATURAL WALKING IN THE URBAN ENVIRONMENT
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
NEUROETHICS FOR NEUROADAPTIVE TECHNOLOGY: THE CASE OF PASSIVE BRAIN-COMPUTER INTERFACES
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
HACKING MINDS, HACKING BRAINS, HACKING AUGMENTED BODIES: ETHICAL ASPECTS OF NEUROHACKING
ABSTRACT
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
EVALUATING BRAIN READING'S PRACTICAL APPLICABILITY
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
INTERACTING WITH WEARABLE COMPUTERS BY MEANS OF FUNCTIONAL ELECTRICAL MUSCLE STIMULATION
ABSTRACT
INTRODUCTION: INTERFACES BASED ON ELECTRICAL MUSCLE STIMULATION?
NOVEL INTERACTION OPPORTUNITIES: ADAPTIVE WEARABLE INTERFACES
CONCLUSIONS: TOWARDS NEURO-MUSCULAR ADAPTIVE CONTROL LOOPS
REFERENCES
MEASURING ACADEMIC STRESS `IN THE WILD' WITH WEARABLE SENSORS: REMOVAL OF NOISE FROM WEARABLE SENSOR DATA USING FIR FILTERS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION & CONCLUSION
REFERENCES
MOBILE BRAIN/BODY IMAGING (MOBI) OF SPATIAL KNOWLEDGE ACQUISITION DURING UNCONSTRAINED EXPLORATION IN VR
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
SIGNAL ANALYSIS OF MOTOR IMAGERY TASKS FOR SELF-PACED BCI APPLICATIONS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
FUNCTIONAL CORTICAL NETWORKS FOR AUDITORY DISTRACTOR SUPRESSION DURING A REALISTIC VISUAL SEARCH TASK
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
RE-THINKING BCI MODELS AS NOISY SENSORS FOR NEURAL ANALYSIS
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION AND CONCLUSION
REFERENCES
A BIOFEEDBACK APPROACH TO INVESTIGATE NEUROCOGNITIVE MECHANISMS OF FEEDBACK-BASED LEARNING
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
DISCUSSION
REFERENCES
FINDING EEG FREQUENCY BANDS RELATED TO CONCENTRATION
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
DEVELOPMENT OF A NEUROADAPTIVE GAMING TECHNOLOGY TO DISTRACT FROM PAINFUL PROCEDURES
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION/CONCLUSION
REFERENCES
CORTICAL SOURCE LOCALIZATION OF EEG BIOMARKERS IN A COGNITIVE BRAIN-COMPUTER INTERFACE MONITORING WORKING MEMORY LOAD
INTRODUCTION
MATERIALS AND METHODS
DISCUSSION
REFERENCES
DESIGNING AND UNDERSTANDING CONVOLUTIONAL NETWORKS FOR DECODING EXECUTED MOVEMENTS FROM EEG
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
SIGMABOX: TOWARDS A SIMPLE AND EFFICIENT MATLAB TOOLBOX FOR EEG SIGNAL PROCESSING AND CLASSIFICATION
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
DISCUSSION
REFERENCES
EEG-BASED BIOMETRIC AUTHENTICATION: A PRELIMINARY STUDY
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
MEASURING COGNITIVE CONFLICT IN VIRTUAL REALITY
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
Participants
Equipment
Experiment
Method
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
NEUROPHYSIOLOGICAL CORRELATES OF EFFICIENT LEARNING IN THE NEUROFEEDBACK PARADIGM
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
USER IDENTIFICATION FROM FNIRS DATA USING DEEP LEARNING
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
LABELLING OF MOVEMENT ONSETS BASED ON EXOSKELETON JOINT DATA
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES
INVESTIGATING METRICS FOR MEASURING AND REMINDING MINDFULNESS OF SCHOOL STUDENTS
ABSTRACT
INTRODUCTION
RESULTS
CONCLUSION
REFERENCES
Abstracts from the Second Neuroadaptive Technology Conference, 2019
TOWARDS AN ETHICAL DEFINITORY FRAMEWORK FOR BOTH TRADITIONAL AND NOVEL HUMAN-COMPUTER INTERACTION PARADIGMS
ABSTRACT
REFERENCES
A NEUROADAPTIVE APPROACH TO ANALGESIC GAMING
ABSTRACT
REFERENCES
INVESTIGATING THE INFLUENCE OF RSVP DISPLAY PARAMETERS ON WORKING MEMORY LOAD USING ELECTROENCEPHALOGRAPHY
ABSTRACT
REFERENCES
TOWARDS BUILDING NEUROADAPTIVE READING APPLICATIONS: ASSESSING DIFFERENCES IN MENTAL WORKLOAD INDUCED BY TEXT READABILITY LEVELS AND PRESENTATION SPEEDS ON SINGLE-SUBJECT LEVEL
ABSTRACT
REFERENCES
CAAD MODELING WITH VISUAL-ERP BCI
ABSTRACT
REFERENCES
MAY ALPHA NEUROFEEDBACK AFFECT MOTOR IMAGERY BCI PERFORMANCE?
ABSTRACT
ACKNOWLEDGMENTS
REFERENCES
DIFFERENTIAL EFFECTS OF NEUROFEEDBACK LATENCY ON THE INCIDENCE RATE, AMPLITUDE AND DURATION OF ALPHA-BURSTS
ABSTRACT
REFERENCES
MULTI-STAGE THEORY OF NEUROFEEDBACK LEARNING
ABSTRACT
REFERENCES
MODULAR BIOFEEDBACK: BUILD YOUR OWN TANGIBLE EXPERIENCE
ABSTRACT
REFERENCES
MODELING BIOCYBERNETIC ADAPTATION THROUGH FEEDBACK CONTROL SYSTEMS PRINCIPLES: IMPLICATIONS IN HUMAN-COMPUTER INTERACTION AND VIRTUAL REALITY APPLICATIONS
REFERENCES
ON THE USE OF PHYSIOLOGICAL MEASURES TO MONITOR OPERATOR DYADS
ABSTRACT
REFERENCES
THE AUTOMATIC CLASSIFICATION OF HUMAN FACTORS ASSOCIATED WITH DECISIONS INVOLVING RISK DURING DRIVING SIMULATION
ABSTRACT
REFERENCES
TOWARDS NEUROADAPTIVE TECHNOLOGY USING TIME WARPED DISTANCES FOR SIMILARITY EXPLORATION OF BRAIN DATA
OVERVIEW
BACKGROUND
BRAINEX
EXPERIMENTAL TASK
ANALYSIS AND RESULTS
CONCLUSION
REFERENCES
ATTENTIONAL CONTROL DURING THE FLOW EXPERIENCE IN VIRTUAL REALITY GAMES
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES
EXAMINING ECONOMIC DECISIONS FOR HOUSEHOLD PRODUCTS USING MOBILE EEG
BACKGROUND
METHODS
RESULTS
DISCUSSION
REFERENCES
WALKING IMPROVES THE PERFORMANCE OF A BRAIN-COMPUTER INTERFACE FOR GROUP DECISION MAKING
ABSTRACT
INTRODUCTION
METHODS
RESULTS
CONCLUSIONS
ACKNOWLEDGMENTS
REFERENCES
FEMG AND EMOTION IN VIRTUAL REALITY
ABSTRACT
REFERENCES
PROMOTING DIGITAL WELLBEING THROUGH REAL-TIME STATE CLASSIFICATION OF PSYCHOPHYSIOLOGICAL SENSOR NETWORKS
ABSTRACT
REFERENCES
GROUP EYE TRACKING RESEARCH AND APPLICATIONS
ABSTRACT
REFERENCES
APPLICATION OF DEEP LEARNING IN LIP READING
ABSTRACT
REFERENCES
SPONTANEOUS RADIOFREQUENCY EMISSION FROM NONEQUILIBRIUM ELECTRON SPINS WITHIN DROSOPHILA
ABSTRACT
REFERENCES
SINGLE SESSION TRANSCRANIAL DIRECT CURRENT STIMULATION (TDCS) CAN IMPROVE ROBOTIC SUTURING SKILLS IN SURGICAL TRAINEES
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES
APPREHENDING AUDITORY ACTIVITY IN ECOLOGICAL CONTEXTS WITH UNOBTRUSIVE EEG
ABSTRACT
METHODS
RESULTS
CONCLUSION AND PERSPECTIVES
REFERENCES
THE IMPACT OF ELECTRODE SHIFTS ON BCI CLASSIFIER ACCURACY
ABSTRACT
INTRODUCTION
METHODS
RESULTS
OUTLOOK
REFERENCES
N170 COMPONENTS OF REAL AND COMPUTER-GENERATED FACIAL IMAGES
ABSTRACT
REFERENCES
USING LINEAR DECONVOLUTION TO ACCOUNT FOR OVERLAPPING BRAIN POTENTIALS: AN EYE-FIXATION RELATED POTENTIALS STUDY
ABSTRACT
REFERENCES
ISOLATING AFFECTIVE INFLUENCES ON IMPLICIT CURSOR CONTROL
ABSTRACT
REFERENCES
Index
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