Advances in neuroergonomics and cognitive engineering : proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cogni...

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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
verantwortlich
Ayaz, Hasan (HerausgeberIn); Asgher, Umer (HerausgeberIn); Virtual Conference on Neuroergonomics and Cognitive Engineering Online (VerfasserIn); International Conference on Applied Human Factors and Ergonomics (VerfasserIn); Virtual Conference on Industrial Cognitive Ergonomics and Engineering Psychology (VerfasserIn)
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Advances in intelligent systems and computing ; 1201
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Cham: Springer, [2021]
Erscheinungsjahr
2021
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Advances in intelligent systems and computing ; 1201
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520 |a 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 
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contents 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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spelling Virtual Conference on Neuroergonomics and Cognitive Engineering 2020 Online VerfasserIn (DE-588)1241065179 (DE-627)1770060049 aut, 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 Hasan Ayaz, Umer Asgher, editors, Cham Springer [2021], xvii, 455 pages Illustrationen, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Advances in intelligent systems and computing 1201, 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, 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 (DE-588)1071861417 (DE-627)826484824 (DE-576)433375485 gnd-content, s (DE-588)4006882-1 (DE-627)106375814 (DE-576)208867619 Biomedizinische Technik gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)7651795-0 (DE-627)594524318 (DE-576)304479772 Mathematische Modellierung gnd, (DE-627), Ayaz, Hasan HerausgeberIn (DE-588)1173368973 (DE-627)1042508089 (DE-576)515194735 edt, Asgher, Umer HerausgeberIn edt, International Conference on Applied Human Factors and Ergonomics 11. 2020 Online VerfasserIn (DE-588)1215505973 (DE-627)1726671429 aut, Virtual Conference on Industrial Cognitive Ergonomics and Engineering Psychology 2020 Online VerfasserIn (DE-588)1241065292 (DE-627)1770060197 aut, 9783030510411 Electronic book (EPUB format, 3030510417, Advances in intelligent systems and computing 1201 1201 (DE-627)727815814 (DE-576)373311257 (DE-600)2686636-5 2194-5357 ns, https://www.gbv.de/dms/tib-ub-hannover/1770058877.pdf V:DE-601 B:DE-89 pdf/application Inhaltsverzeichnis
spellingShingle 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, Advances in intelligent systems and computing, 1201, 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, 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
title 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
title_auth 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
title_full 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 Hasan Ayaz, Umer Asgher, editors
title_fullStr 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 Hasan Ayaz, Umer Asgher, editors
title_full_unstemmed 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 Hasan Ayaz, Umer Asgher, editors
title_in_hierarchy 1201. 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 ([2021])
title_short Advances in neuroergonomics and cognitive engineering
title_sort 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
title_sub proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, July 16-20, 2020, USA
title_unstemmed 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
topic 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
topic_facet 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
url https://www.gbv.de/dms/tib-ub-hannover/1770058877.pdf
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