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A survey of fatigue measures and models

Author

Listed:
  • Antonio Laverghetta Jr
  • Minh Tran
  • Alec Braynen
  • Stephen Steinle
  • Bekhzodbek Moydinboyev
  • Heba Daas
  • John Licato

Abstract

In long, stressful operational periods, military personnel face numerous challenges that may compromise their performance, an especially important one being fatigue. Current literature supports the view that behavioral, physiological, and cognitive factors are all predictive of the level of fatigue in individuals. However, much of the work on modeling fatigue has taken a narrow approach, relying only on a handful of modalities to measure fatigue. This paper aims to fill the void by providing an extensive overview of the current literature on both computationally measuring and modeling fatigue. We provide up-to-date and practical advice on which models are best suited for different situations and highlight directions for future work.

Suggested Citation

  • Antonio Laverghetta Jr & Minh Tran & Alec Braynen & Stephen Steinle & Bekhzodbek Moydinboyev & Heba Daas & John Licato, 2025. "A survey of fatigue measures and models," The Journal of Defense Modeling and Simulation, , vol. 22(2), pages 147-173, April.
    • Handle: RePEc:sae:joudef:v:22:y:2025:i:2:p:147-173
    DOI: 10.1177/15485129231158580
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    References listed on IDEAS

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    1. Clément Bougard & Stéphane Espié & Bruno Larnaudie & Sébastien Moussay & Damien Davenne, 2012. "Effects of Time of Day and Sleep Deprivation on Motorcycle-Driving Performance," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-11, June.
    2. Teh, Yee Whye & Jordan, Michael I. & Beal, Matthew J. & Blei, David M., 2006. "Hierarchical Dirichlet Processes," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1566-1581, December.
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    Cited by:

    1. Yong Chen & Jiangtao Chen & Xian Xie & Wenchao Yi & Zuzhen Ji, 2025. "Prediction of Mental Fatigue for Control Room Operators: Innovative Data Processing and Multi-Model Evaluation," Mathematics, MDPI, vol. 13(17), pages 1-30, August.

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