Computers & Internet Books:

Mental Fatigue Assessment in Demanding Marine Operations

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!
  • Mental Fatigue Assessment in Demanding Marine Operations on Hardback by Thiago Gabriel Monteiro
  • Mental Fatigue Assessment in Demanding Marine Operations on Hardback by Thiago Gabriel Monteiro
$433.00
Releases

Pre-order to reserve stock from our first shipment. Your credit card will not be charged until your order is ready to ship.

Available for pre-order now
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $108.25 with Afterpay Learn more

6 weekly interest-free payments of $72.17 with Laybuy Learn more

Pre-order Price Guarantee

If you pre-order an item and the price drops before the release date, you'll pay the lowest price. This happens automatically when you pre-order and pay by credit card or pickup.

If paying by PayPal, Afterpay, Laybuy, Zip, Klarna, POLi, Online EFTPOS or internet banking, and the price drops after you have paid, you can ask for the difference to be refunded.

If Mighty Ape's price changes before release, you'll pay the lowest price.

Availability

This product will be released on

Delivering to:

It should arrive:

  • 5-12 August using International Courier

Description

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.

Author Biography:

Thiago Gabriel Monteiro received B.Sc. degree in naval architecture and maritime engineering from the University of São Paulo, Brazil, in 2013 and M.Sc. degree in Ship Design from the Norwegian University of Science and Technology (NTNU), Norway, in 2016. He worked as a member of the Ship Design and Operations Laboratory, NTNU Ålesund, from 2014 to 2016. He was also a collaborator in the SFI MOVE project, from 2017 to 2020. From 2017 to 2021, he worked in the Intelligent Systems lab as a Ph.D. candidate. He received his Ph.D. degree in Engineering from NTNU in 2021 in the field of physiological sensor fusion in the maritime domain. He currently works as a software engineer at Dipai AS. Houxiang Zhang is a full professor and director of Intelligent Systems Laboratory at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology. He received his Ph.D. degree on Mechanical and Electronic Engineering in 2003. From 2004, he worked as a postdoctoral fellow and senior researcher at the Institute of Technical Aspects of Multimodal Systems (TAMS), Department of Informatics, Faculty of Mathematics, Informatics, and Natural Sciences, University of Hamburg, Germany. In Feb. 2011, he finished the Habilitation on Informatics at the University of Hamburg. Dr. Zhang joined the NTNU, Norway, in April 2011 where he is a full professor on Mechatronics. From 2011 to 2016, Dr. Zhang also hold a Norwegian national GIFT Professorship on product and system design funded by Norwegian Maritime Centre of Expertise. He was nominated and selected as a member of the Norwegian Academy of Technological Sciences in 2019, and a member of Academy of the Royal Norwegian Society of Sciences and Letters in 2024.
Release date NZ
July 29th, 2024
Pages
115
Audience
  • Professional & Vocational
Illustrations
40 Illustrations, color; 6 Illustrations, black and white; X, 115 p. 25 illus.
ISBN-13
9789819730711
Product ID
38811035

Customer previews

Nobody has previewed this product yet. You could be the first!

Write a Preview

Help & options

Filed under...