疲劳测量和模型综述

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
A. Laverghetta, Minh Tran, Alec Braynen, Stephen Steinle, Bekhzodbek Moydinboyev, Heba Daas, John Licato
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引用次数: 0

摘要

在长时间紧张的作战期间,军事人员面临许多可能影响其表现的挑战,其中一个特别重要的挑战是疲劳。目前的文献支持这样一种观点,即行为、生理和认知因素都可以预测个体的疲劳程度。然而,许多关于疲劳建模的工作都采取了一种狭窄的方法,仅依靠少数几种模式来测量疲劳。本文旨在填补空白,提供了一个广泛的概述,目前的文献在计算测量和建模疲劳。我们提供最新和实用的建议,哪些模型最适合不同的情况,并强调未来工作的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey of fatigue measures and models
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.
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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