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Autore: |
Monteiro Thiago Gabriel
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Titolo: |
Mental Fatigue Assessment in Demanding Marine Operations
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Pubblicazione: | Singapore : , : Springer, , 2024 |
©2024 | |
Edizione: | 1st ed. |
Descrizione fisica: | 1 online resource (126 pages) |
Altri autori: |
ZhangHouxiang
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Nota di contenuto: | Intro -- Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 The Relevance of the Human Factors in Maritime Accidents -- 1.2 Machine Versus Human Failure -- 1.3 Human Errors and Their Causes -- 1.4 Fatigue Assessment -- 1.5 Scope of Research -- 1.6 Book Outline -- References -- 2 Handling Fatigue -- 2.1 Handling Fatigue -- 2.1.1 Fatigue Mitigation -- 2.1.2 Fatigue Recovery Monitoring -- 2.1.3 Fatigue Assessment -- 2.1.4 Fatigue Proofing -- 2.2 Leveraging Fatigue Assessment for Risk Management -- References -- 3 Mental Fatigue Assessment Sensor Framework -- 3.1 Fundamentals of the Proposed Mental Fatigue Assessment Framework -- 3.1.1 Sensors Selection -- 3.1.2 Data Centralization -- 3.1.3 Data Collection and Preprocessing -- 3.1.4 Sensor Fusion -- 3.1.5 Mental Fatigue Assessment -- 3.2 State of the Art of Mental Fatigue Assessment Using EEG -- 3.2.1 Time Domain Methods -- 3.2.2 Frequency Domain Methods -- 3.2.3 Time-Frequency Domain Methods -- 3.2.4 Survey Analysis -- 3.2.5 Mental Fatigue Assessment Software -- 3.2.6 Warning Feedback -- 3.3 Experimental Procedure -- 3.3.1 Scenario-Based Experiment and Simulators -- 3.3.2 Questionnaires and Data Labeling -- References -- 4 Mental Fatigue Assessment Using Artificial Intelligence -- 4.1 Comparing Different NN for Mental Fatigue Assessment -- 4.1.1 Data Collection and Preprocessing -- 4.1.2 Single Subject Analysis -- 4.1.3 Improving Classification Results -- 4.1.4 Cross-Subject Analysis -- 4.2 Improving Mental Fatigue Assessment by Optimization -- 4.2.1 Optimizing CNN Hyperparameters -- 4.2.2 Data Collection and Preprocessing -- 4.2.3 Single Subject Analysis -- 4.2.4 Cross-Subject Analysis -- 4.2.5 Optimization Variables Behavior -- 4.2.6 Assessing Mental Fatigue Level -- 4.3 Impact of Different Sensor Combinations on Mental Fatigue Assessment. |
4.3.1 Data Collection and Preprocessing -- 4.3.2 Results -- 4.4 Looking Inside the CNN -- References -- 5 Model-Based Assessment for Multi-subject and Multi-task Scenarios -- 5.1 Mental Fatigue and the Maritime Domain -- 5.2 EEG and Frequency Band Analysis -- 5.2.1 Theta Rhythm (thetaθ) -- 5.2.2 Alpha Rhythm (alphaα) -- 5.2.3 Beta Rhythm (betaβ) -- 5.3 Material and Methods -- 5.3.1 Data Collection and Preprocessing -- 5.3.2 Mental Fatigue Assessment Approach -- 5.3.3 Experimental Procedure -- 5.4 Results and Discussion -- 5.4.1 Multi-subject -- 5.4.2 Multi-subject and Multi-task -- 5.5 The Impact of Different Tasks -- References -- 6 Mental Fatigue Prediction -- 6.1 Measuring and Modelling Mental Fatigue Scenarios -- 6.1.1 Contributing Factors -- 6.1.2 Sensors -- 6.1.3 Mental Fatigue Prediction -- 6.1.4 Database of Previous Scenarios -- 6.1.5 Data-Driven Mental Fatigue Prediction -- 6.2 Modelling Mental Fatigue Progression -- 6.2.1 Time Dependant Mental Fatigue Progression -- 6.2.2 Distress Dependant Mental Fatigue Progression -- 6.2.3 Tunning Models -- 6.3 Simulating Mental Fatigue Scenarios -- 6.3.1 Management Tool -- 6.3.2 Planning Tool -- 6.4 Towards an Intelligent Model for Mental Fatigue and Human Error Prediction -- References -- 7 Research Challenges -- 7.1 The Feasibility of EEG-Based Mental Fatigue Detection Systems -- 7.1.1 Cross-Subject and Cross-Session Mental Fatigue Detection -- 7.1.2 Computational Requirements -- 7.1.3 Portability -- 7.1.4 Intrusiveness -- 7.1.5 Number of Mental Fatigue States -- 7.1.6 Closed Loop System -- 7.2 Directions for Future Work -- References. | |
Titolo autorizzato: | Mental Fatigue Assessment in Demanding Marine Operations ![]() |
ISBN: | 9789819730728 |
9789819730711 | |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910865276903321 |
Lo trovi qui: | Univ. Federico II |
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