Development of Bio-Mathematical Models for Human Performance under Fatigue – Bio-mathematical fatigue modeling


  1. Peng, H.
  2. Bouak, F.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Sleep-induced fatigue has been well recognized as a major factor influencing military’s performance across all operational environments. Various strategies have been studied to mitigate the impairment of sleep loss on health and performance. Bio-mathematical models to predict fatigue are valuable tools. Most of the existing models do not consider other factors affecting human fatigue beyond sleep, and any countermeasures. We have used MATLAB a generic modeling tool to develop and validate a fatigue model for full and partial sleep deprivation including shift work and jet lag. We compared our model with Fatigue Avoidance Scheduling Tool (FAST), a commercial software using the SAFTE algorithm, and validate it using existing experimental data. The flexibility of our model would allow additions of new algorithms and mechanisms for non-sleep factors and countermeasures and thus improve model predictions and usefulness for both civilian and military applications. In this report, we first reviewed the literature on various models of human mental fatigue and cognitive performance and then described two DRDC bio-mathematical models. The first one (named as DRDC model 1) described in Section 3 is a further development of the SAFTE model and the second one (named as DRDC model 2) described in Section 4 is completely different. The basic elements of DRDC model 1 were based on the SAFTE model with the additions of pharmaceutical and workload effects, while light- and melatonin-i

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bio-mathematical model;fatigue;human performance
Report Number
DRDC-RDDC-2015-R280 — Scientific Report
Date of publication
01 Dec 2015
Number of Pages
Electronic Document(PDF)

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