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Titlebook: Mental Fatigue Assessment in Demanding Marine Operations; Thiago Gabriel Monteiro,Houxiang Zhang Book 2024 The Editor(s) (if applicable) a

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,Model-Based Assessment for Multi-subject and Multi-task Scenarios,states: non-fatigue and fatigue. When including a more discretized MF scale, such as using the KSS levels as reference, CNN was only satisfactory for single subject-scenarios. To address these deficiencies, this chapter investigates a model-based MFA approach for multi-task and multi-subject scenarios.
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Research Challenges,e systems as machinery systems become increasingly reliable and consequently human operators account for a steady increase in accidents. This increase reflects a change of paradigm in human machine systems as machinery systems become increasingly reliable and consequently human operators account for a steady increase in accidents.
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978-981-97-3074-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-981-97-3072-8Maritime Operations; Mental Fatigue Assessment; Artificial Intelligence; Physiological Sensors; EEG
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Mental Fatigue Prediction, to ensure that these issues are addressed before potential danger escalates to real accidents. This chapter does not aim to solve the MFP problem, but only to provide a starting point for further developments.
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Introduction,ents and the damaged caused by them. The majority of accidents in the maritime domain are related to Human factors (HF) challenges. To make maritime operations safer, it is essential that the ones that are the most relevant among these challenges need to be identified and addressed.
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