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International Conference on Applied Human Factors and Ergonomics

AHFE 2018: Advances in Human Factors in Wearable Technologies and Game Design pp 135–145Cite as

Comparison Among Standard Method, Dedicated Toolbox and Kinematic-Based Approach in Assessing Risk of Developing Upper Limb Musculoskeletal Disorders

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 795))

Abstract

OCRA (Occupational Repetitive Action) index is one of the most used method for supporting risk assessment in tasks requiring manual handling of low loads at high frequency. One of the main drawbacks of this method is that the operator analyses the activities by observing videos. This kind of procedure is inherently not objective and operator-dependent. To overcome these limitations, we developed a toolbox to support the analysis with contextual noting and wearable sensors kinematic data. Three expert operators were asked to evaluate seven videos with and without the aid of the developed toolbox. Results underlined a high inter (R2 mean 0.4) and intra-operator variability (posture time percentage and technical actions (TAs) count mean errors respectively 7.44%, 4 TAs) when using the only video-based approaches. On the contrary, research outcomes showed that the introduction of wearable device allow to overcome these issues and to reduce noticeably the evaluation time (−98%).

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References

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Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Brescia, via Branze 38, 25123, Brescia, Italy

    Stefano Elio Lenzi & Nicola Francesco Lopomo

  2. Dipartimento di Design, Politecnico di Milano, via Durando 38/A, 20158, Milan, Italy

    Carlo Emilio Standoli, Giuseppe Andreoni & Paolo Perego

Authors
  1. Stefano Elio Lenzi
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  2. Carlo Emilio Standoli
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  3. Giuseppe Andreoni
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  4. Paolo Perego
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  5. Nicola Francesco Lopomo
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Corresponding author

Correspondence to Stefano Elio Lenzi .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Lenzi, S.E., Standoli, C.E., Andreoni, G., Perego, P., Lopomo, N.F. (2019). Comparison Among Standard Method, Dedicated Toolbox and Kinematic-Based Approach in Assessing Risk of Developing Upper Limb Musculoskeletal Disorders. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-94619-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-94619-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94618-4

  • Online ISBN: 978-3-319-94619-1

  • eBook Packages: EngineeringEngineering (R0)

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