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Towards Wearable Technology Assisting in Training and Risk Assessment Against Musculoskeletal Disorders for Maritime Workers

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Advances in Simulation and Digital Human Modeling (AHFE 2021)

Abstract

Nowadays, wearable technologies are capable of monitoring human activities and performances in different environments. In this paper, we present an investigation of their usage as tools for risk assessment and training in a maritime environment. In particular, bend sensors, stretch sensors and wearable inertial measurement units (IMUs) were investigated in regard to monitoring container lashers' movement in a maritime environment. Design and technological issues will be discussed. In this context, we also consider human system integration and interaction of those technologies. Notably, flex and stretch sensors show a low position repeatability precision as measurements were strongly affected by unwanted repositioning of the sensor. As a result, they introduce accuracy and reliability issues in uncontrolled environments. Assessment of each sensor type lead to the conclusion that contemporary IMU’s are a suitable solution.

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Correspondence to Stijn Verwulgen .

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Van Gastel, A., Scataglini, S., Zelck, S., Denteneer, L., Bossche, H.V., Verwulgen, S. (2021). Towards Wearable Technology Assisting in Training and Risk Assessment Against Musculoskeletal Disorders for Maritime Workers. In: Wright, J.L., Barber, D., Scataglini, S., Rajulu, S.L. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2021. Lecture Notes in Networks and Systems, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-79763-8_44

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