Advances in neuroergonomics and cognitive engineering proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, July 16-20, 2020, USA
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 Ne...
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| Körperschaften: | , , |
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| Weitere Verfasser: | , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2021
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| Schriftenreihe: | Advances in intelligent systems and computing
1201 |
| Schlagworte: |
Engineering
> Computational intelligence
> Biomedical engineering
> Engineering design
> Engineering economy
> Technical design
> Engineering: general
> Artificial intelligence
> Technology & Engineering ; Biomedical
> Technology & Engineering ; Industrial Design ; Product
> Technology & Engineering ; General
> Technology & Engineering ; Engineering (General)
> Conference papers and proceedings
> Konferenzschrift
> Biomedizinische Technik
> Maschinelles Lernen
> Mathematische Modellierung
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Tag hinzufügen | Zusammenfassung: | 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 |
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| Beschreibung: | xvii, 455 pages Illustrationen |
| ISBN: | 9783030510404 978-3-030-51040-4 |