|
Digital
Library of the European Council for Modelling and Simulation |
Title: |
A Model For Forecasting
Mental Fatigue In Maritime Operations |
Authors: |
Thiago G. Monteiro,
Henrique M. Gaspar, Houxiang Zhang, Charlotte Skourup |
Published in: |
2020). ECMS 2020 Proceedings
Edited by: Mike Steglich, Christian Muller, Gaby
Neumann, Mathias Walther, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2020 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-68-5 Communications of the ECMS , Volume 34, Issue 1, June 2020, United Kingdom |
Citation
format: |
Thiago G. Monteiro, Henrique M. Gaspar, Houxiang Zhang, Charlotte Skourup
(2020). A Model For Forecasting Mental Fatigue In Maritime Operations, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias
Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0221 |
DOI: |
https://doi.org/10.7148/2020-0221 |
Abstract: |
Assessing
seafarers' mental fatigue levels helps identifying potential operational
risks and the ability to simulate future scenarios can be used during
planning and management, to ensure safer operational conditions. In this
work, we propose a framework for modelling
seafarers' future mental fatigue levels using a combination of both
physiological and environmental sensors and model- and data-based techniques.
We established building blocks of this framework and presented examples of
how it can be applied in different scenarios as soon as enough data is
collected to feed the data-based section of the
model. Once properly trained, this framework can be used not only to assess human-related
operational risks but also to provide the necessary information to ensure
that these issues are addressed before potential danger escalates to real
accidents. |
Full
text: |