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Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience

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Cover of 'Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 Developing an Optical Brain-Computer Interface for Humanoid Robot Control
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    Chapter 2 Using Motor Imagery to Control Brain-Computer Interfaces for Communication
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    Chapter 3 An Online Gaze-Independent BCI System Used Dummy Face with Eyes Only Region as Stimulus
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    Chapter 4 A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI
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    Chapter 5 Poor BCI Performers Still Could Benefit from Motor Imagery Training
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    Chapter 6 Predicting EEG Sample Size Required for Classification Calibration
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    Chapter 7 An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control
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    Chapter 8 Multi-Brain BCI: Characteristics and Social Interactions
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    Chapter 9 Comparing EEG Artifact Detection Methods for Real-World BCI
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    Chapter 10 Examining the Neural Correlates of Incidental Facial Emotion Encoding Within the Prefrontal Cortex Using Functional Near-Infrared Spectroscopy
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    Chapter 11 Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis
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    Chapter 12 Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling
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    Chapter 13 Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology
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    Chapter 14 Real-Time Monitoring of Cognitive Workload of Airline Pilots in a Flight Simulator with fNIR Optical Brain Imaging Technology
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    Chapter 15 Truthiness: Challenges Associated with Employing Machine Learning on Neurophysiological Sensor Data
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    Chapter 16 Evaluation of Cognitive Control and Distraction Using Event-Related Potentials in Healthy Individuals and Patients with Multiple Sclerosis
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    Chapter 17 Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness
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    Chapter 18 Multi-model Approach to Human Functional State Estimation
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    Chapter 19 Using fNIRS for Real-Time Cognitive Workload Assessment
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    Chapter 20 Modeling and Tracking Brain Nonstationarity in a Sustained Attention Task
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    Chapter 21 Linking Indices of Tonic Alertness: Resting-State Pupil Dilation and Cingulo-Opercular Neural Activity
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    Chapter 22 Evaluating Neural Correlates of Constant-Therapy Neurorehabilitation Task Battery: An fNIRS Pilot Study
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    Chapter 23 Overloaded and Biased? Using Augmented Cognition to Understand the Interaction Between Information Overload and Cognitive Biases
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    Chapter 24 Session-to-Session Transfer in Detecting Steady-State Visual Evoked Potentials with Individual Training Data
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    Chapter 25 Paired Associative Stimulation with Brain-Computer Interfaces: A New Paradigm for Stroke Rehabilitation
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    Chapter 26 Single Trial Variability of Event-Related Brain Potentials as an Index of Neural Efficiency During Working Memory
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    Chapter 27 A More Complete Picture of Emotion Using Electrocardiogram and Electrodermal Activity to Complement Cognitive Data
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    Chapter 28 Real-Time Fatigue Monitoring with Computational Cognitive Models
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    Chapter 29 Introduction to Real-Time State Assessment
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    Chapter 30 User Abilities in Detecting Vibrotactile Signals on the Feet Under Varying Attention Loads
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    Chapter 31 Estimate Emotion Method to Use Biological, Symbolic Information Preliminary Experiment
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    Chapter 32 Job Analysis and Cognitive Task Analysis in National Security Environments
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    Chapter 33 Measuring the Effect of Tangible Interaction on Design Cognition
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    Chapter 34 Psychophysiological Baseline Methods and Usage
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    Chapter 35 Physiological Measures of Arousal During Soldier-Relevant Tasks Performed in a Simulated Environment
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    Chapter 36 Theoretical Versus Mathematical Approach to Modeling Psychological and Physiological Data
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    Chapter 37 Monitoring Attention with Embedded Frequency Markers for Simulation Environments
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    Chapter 38 Augmenting Robot Behaviors Using Physiological Measures of Workload State
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    Chapter 39 Posture Based Recognition of the Visual Focus of Attention for Adaptive Mobile Information Systems
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    Chapter 40 Considerations in Physiological Metric Selection for Online Detection of Operator State: A Case Study
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    Chapter 41 Sensing and Assessing Cognitive Workload Across Multiple Tasks
Attention for Chapter 28: Real-Time Fatigue Monitoring with Computational Cognitive Models
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Readers on

mendeley
15 Mendeley
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Chapter title
Real-Time Fatigue Monitoring with Computational Cognitive Models
Chapter number 28
Book title
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-39955-3_28
Book ISBNs
978-3-31-939954-6, 978-3-31-939955-3
Authors

Leslie M. Blaha, Christopher R. Fisher, Matthew M. Walsh, Bella Z. Veksler, Glenn Gunzelmann

Editors

Dylan D. Schmorrow, Cali M. Fidopiastis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 13%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Unspecified 3 20%
Researcher 3 20%
Professor > Associate Professor 2 13%
Student > Doctoral Student 2 13%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Unspecified 3 20%
Engineering 3 20%
Psychology 2 13%
Computer Science 2 13%
Neuroscience 1 7%
Other 1 7%
Unknown 3 20%