Intro
Advances in Human Factors and Ergonomics 2020
Preface
Contents
Machine Learning in Cognitive Neuroimaging
A Comparative Study on Epileptic Seizure Detection Methods
Abstract
1 Introduction
2 Feature Selection
3 Classification
3.1 Support Vector Machine
3.2 K Nearest Neighbor
3.3 Convolutional Neural Network
4 Performance Metrics
5 Results
Acknowledgments
References
Fractional Order Modeling of Brain Signals
Abstract
1 Introduction
2 Mathematical Model
2.1 Moving Average Model (MA)
2.2 Autoregressive Model (AR)

2.3 Autoregressive Moving Average Model (ARMA)
2.4 Autoregressive Integrated Moving Average (ARIMA)
2.5 Autoregressive Fractional Integrated Moving Average (ARFIMA)
3 ARFIMA Parameter Estimation
4 Model Estimation
5 Simulation Results
6 Conclusion and Future Work
Acknowledgments
References
Neural Correlation of Brain Activities and Gaming Using Functional Near-Infrared Spectroscopy and Iowa Gambling Task
Abstract
1 Introduction
1.1 Functional Near-Infrared Spectroscopy (fNIRS)
1.2 Iowa Gambling Task (IGT)
2 Materials and Methods
2.1 Participants

2.2 Experimental Task
2.3 Data Acquisition
2.4 fNIRS Data Pre-processing
3 Results
3.1 Descriptive Statistics
3.2 fNIRS Data
3.3 Behavioral Task
Iowa Gambling Task Data
4 Discussion and Conclusion
Acknowledgments
References
Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review
Abstract
1 Introduction
2 Current Research on Machine Learning Application in Neuroimaging
3 Summary
References
Algorithm for Assessing Auditory Images Perception and Verbal Information
Abstract
1 Introduction
2 Methods

3 Outcomes
4 Discussion
5 Conclusion
References
A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade
Abstract
1 Introduction
2 Methodology
2.1 Sources and Search Methods
3 Soft Computing Methodologies
4 Soft Computing Applications in Neuroergonomics
4.1 Assessment of Mental Workload
4.2 Mental Workload Prediction
4.3 Mental Workload Classification
4.4 Mental Fatigue and Vigilance
5 Discussion and Conclusion
References
Cognitive Function Assessment

Quantification of Social Media Influence on Behavior Using Psychophysiological Profiles
Abstract
1 Introduction
2 Methods
3 Results
4 Discussion
Acknowledgments
References
Understanding the Cognitive Demands of the Purdue Pegboard Test: An fNIRs Study
Abstract
1 Introduction
2 Method
2.1 Participants
2.2 Purdue Pegboard Test
3 Protocol
4 Experimental Device
5 Statistical Analysis
6 Results
6.1 Dorsolateral Prefrontal Cortex (LDLPFC)
6.2 Ventromedial Prefrontal Cortex (VmPFC)_
7 Discussion
Acknowledgements
References