Skip to main content

MH-Forces, a Motion-Capture Based Method to Evaluate Workplace Ergonomics: Simulating Exoskeleton Effects

  • Conference paper
  • First Online:
Wearable Robotics: Challenges and Trends (WeRob 2020)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 27))

Included in the following conference series:

  • 1501 Accesses

Abstract

In this document, we explain the MoveHuman-Forces (MH-Forces) method, which aims to evaluate the ergonomics of a specific workplace. This method provides the level of risk to suffer an injury on each body joint. The risk calculation is based on a motion-capture measurement in the workplace. This method can be used for the assessment of existing workplaces and the validation of new ones. After introducing their foundations, we introduce how MH-Forces can be used to assess the inclusion of exoskeletons in workplaces.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Eurofound. Sixth European Survey on Working Conditions: General Report (Publications-Office-of-the-European-Union, Luxembourg, 2018)

    Google Scholar 

  2. J. Diego-Mas, R. Poveda-Bautista, D. Garzon-Leal, Influences on the use of observational methods by practitioners when identifying risk factors in physical work. Ergonomics 58, 1660–1670 (2015)

    Article  Google Scholar 

  3. M.J. Bone-Pina, Método de Evaluación Ergonómica de Tareas Repetitivas, Basado en Simulación Dinámica de Esfuerzos con Modelos Humanos. PhD thesis, University of Zaragoza, 2016

    Google Scholar 

  4. J. Marín, T. Blanco, J. Torre, J.J. Marín, Gait analysis in a box: a system based on magnetometer-free IMUs or clusters of optical markers with automatic event detection. Sensors 20, 3338 (2020)

    Article  Google Scholar 

  5. R. Huston, Principles of Biomechanics (CRC, 2008)

    Google Scholar 

Download references

Acknowledgements

We would like to thank Mutua Universal, BSH, Quiron Prevencion, Volkswagen, and recently Gesinor, which have contributed to developing and adjusting this method.

The project was co-financed by the Government of Aragon, the European Regional Development Fund, and the University of Zaragoza (Spain).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Javier Marín .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Marín, J., de la Torre, J., Marín, J.J. (2022). MH-Forces, a Motion-Capture Based Method to Evaluate Workplace Ergonomics: Simulating Exoskeleton Effects. In: Moreno, J.C., Masood, J., Schneider, U., Maufroy, C., Pons, J.L. (eds) Wearable Robotics: Challenges and Trends. WeRob 2020. Biosystems & Biorobotics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-69547-7_91

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-69547-7_91

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69546-0

  • Online ISBN: 978-3-030-69547-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics