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Hardcover. Condition: new. Hardcover. This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches.Data-driven part investigates the use of different NNs combined for the MF assessment (MFA) task. Among the different architectures tested, convolutional neural networks (CNN) showed the best performance when dealing with multiple physiological data channels. Optimization was used to improve the performance of CNN in the cross-subject MFA task. Testing different combinations of physiological sensors indicated a setup consisting of EEG sensor only was the best option, due to the trade-off between assessment precision and sensor framework complexity. These two factors are of great importance when considering an MFA system that could be implemented in real-life scenarios. The model-based discussion applies the current knowledge about the use of EEG data to characterize MF to develop an MF approach to quantify the progression of MF in maritime operators.In the research presented in this book, realistic vessel simulators were used as a platform for experimenting with different operational scenarios and sensor setups. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. Mental Fatigue Assessment in Demanding Marine Operations | Thiago Gabriel Monteiro (u. a.) | Taschenbuch | xvii | Englisch | 2025 | Springer | EAN 9789819730742 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches.Data-driven part investigates the use of different NNs combined for the MF assessment (MFA) task. Among the different architectures tested, convolutional neural networks (CNN) showed the best performance when dealing with multiple physiological data channels. Optimization was used to improve the performance of CNN in the cross-subject MFA task. Testing different combinations of physiological sensors indicated a setup consisting of EEG sensor only was the best option, due to the trade-off between assessment precision and sensor framework complexity. These two factors are of great importance when considering an MFA system that could be implemented in real-life scenarios. The model-based discussion applies the current knowledge about the use of EEG data to characterize MF to develop an MF approach to quantify the progression of MF in maritime operators.In the research presented in this book, realistic vessel simulators were used as a platform for experimenting with different operational scenarios and sensor setups.
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Postkarte. Condition: Sehr gut. Postkarte von Thiago Monteiro bildseitig mit schwarzem Edding signiert /// Autogramm Autograph signiert signed signee /// Thiago Farias Monte Monteiro (* 15. Juni 1981 in Fortaleza, Ceará)[1] ist ein brasilianischer Tischtennisspieler. Mit den zahlreichen Gewinnen bei Panamerikameisterschaften, Panamerikanischen Spielen, Lateinamerikameisterschaften sowie dem Lateinamerika Cup zählt er zu den erfolgreichsten Tischtennisspielern Amerikas. Karriere Monteiro kam durch seinen Vater, einen Tischtennistrainer, zum Tischtennis. Bis zum Alter von zwölf Jahren spielte er sowohl Tischtennis als auch Futsal.[2] In beiden Sportarten gewann er jeweils zwei Landesmeisterschaften. Nachdem er 1993 seinen ersten nationalen Tischtennis-Titel gewonnen hatte, beschloss er, sich ausschließlich dieser Sportart zu widmen. 1998 trat er in die brasilianische Tischtennisnationalmannschaft ein. Dreimal vertrat er sein Land bei Olympischen Spielen, wo er sowohl im Einzel als auch mit der Mannschaft jedoch nie in die Nähe von Medaillenrängen kam. Monteiro ist achtzehnfacher lateinamerikanischer Meister und holte bei Panamerikanischen Spielen und -meisterschaften insgesamt zwölf Medaillen. Am World Team Cup nahm er viermal, am World Cup dreimal teil. Beim Lateinamerika Cup sicherte er sich zweimal die Goldmedaille. Seine höchste Platzierung mit Platz 59 in der ITTF-Weltrangliste erreichte er im September 2008.[3] Der Brasilianer ist Rechtshänder und verwendet die Shakehand-Schlägerhaltung. /// Standort Wimregal PKis-Box111-U021 pt Gewicht in Gramm: 10.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they requir.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches.Data-driven part investigates the use of different NNs combined for the MF assessment (MFA) task. Among the different architectures tested, convolutional neural networks (CNN) showed the best performance when dealing with multiple physiological data channels. Optimization was used to improve the performance of CNN in the cross-subject MFA task. Testing different combinations of physiological sensors indicated a setup consisting of EEG sensor only was the best option, due to the trade-off between assessment precision and sensor framework complexity. These two factors are of great importance when considering an MFA system that could be implemented in real-life scenarios. The model-based discussion applies the current knowledge about the use of EEG data to characterize MF to develop an MF approach to quantify the progression of MF in maritime operators.In the research presented in this book, realistic vessel simulators were used as a platform for experimenting with different operational scenarios and sensor setups.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches.Data-driven part investigates the use of different NNs combined for the MF assessment (MFA) task. Among the different architectures tested, convolutional neural networks (CNN) showed the best performance when dealing with multiple physiological data channels. Optimization was used to improve the performance of CNN in the cross-subject MFA task. Testing different combinations of physiological sensors indicated a setup consisting of EEG sensor only was the best option, due to the trade-off between assessment precision and sensor framework complexity. These two factors are of great importance when considering an MFA system that could be implemented in real-life scenarios. The model-based discussion applies the current knowledge about the use of EEG data to characterize MF to develop an MF approach to quantify the progression of MF in maritime operators.In the research presented in this book, realistic vessel simulators were used as a platform for experimenting with different operational scenarios and sensor setups.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.
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