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Workload Estimation System of Sequential Manual Tasks by Using Muscle Fatigue Model

  • Akihiko Seo
  • Maki Sakaguchi
  • Kazuki Hiranai
  • Atsushi Sugama
  • Takanori Chihara
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 825)

Abstract

In this study, we sought to develop a system to evaluate the workload of multiple sequential tasks using a digital human and muscle fatigue model, as well as test its validity using a sequential task experiment. The muscle fatigue model is the three-component model introduced by Xia et al. The model assumes that the muscle motor unit consists of resting, activated, and fatigued components. We used a temporal smoothed value of the active component ratio to the non-fatigued component to estimate workload. A system was developed using this model to evaluate workload of any combination of sequential tasks of the single manual handling task. A sequential task consisting of three kinds of material handling task performed by a digital human and real environment was prepared as a validity test. We found that the estimated workload using the simulation and the subjective scores showed a similar pattern with the load of the sequential tasks and repetitions.

Keywords

Physical workload Sequential task Muscle fatigue 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Akihiko Seo
    • 1
  • Maki Sakaguchi
    • 1
  • Kazuki Hiranai
    • 1
  • Atsushi Sugama
    • 2
  • Takanori Chihara
    • 3
  1. 1.Tokyo Metropolitan UniversityHinoJapan
  2. 2.National Institute of Occupational Safety and HealthKiyoseJapan
  3. 3.Kanazawa UniversityKanazawaJapan

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