Digital human model simulation of the movement variability induced by muscle fatigue during a repetitive pointing task until exhaustion

Jonathan Savin et al.

International Journal of the Digital Human2023https://doi.org/10.1504/ijdh.2023.133027article
AJG 1
Weight
0.39

What the paper says

Movement variability is a fundamental feature of human movement. It occurs in all kinds of activity including workplace tasks. Despite its prevalence, workstation designers are hardly aware of it. Neglecting this variability may lead designers to ignore parts of the future operator's activity, thus leading to an incomplete assessment of their occupational risks. This article describes a model-based virtual human and its controller, intended to simulate the movement variability induced by muscle fatigue during a repetitive activity until exhaustion. It associates a multi-body dynamics framework and a three-compartment muscle fatigue model. When simulating a repetitive pointing task, our DHM reproduces some aspects of human movement variability. Improvements are still needed to account for intra- and inter-individual movement variability patterns recently highlighted in the literature. Yet, this approach raises interesting perspectives regarding new DHM features providing workstation designers with more comprehensive ergonomic assessments from the early stages of workstation design.

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https://doi.org/https://doi.org/10.1504/ijdh.2023.133027

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@article{jonathan2023,
  title        = {{Digital human model simulation of the movement variability induced by muscle fatigue during a repetitive pointing task until exhaustion}},
  author       = {Jonathan Savin et al.},
  journal      = {International Journal of the Digital Human},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1504/ijdh.2023.133027},
}

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Evidence weight

0.39

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.12 × 0.4 = 0.05
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.