Skip to main content
SpringerLink
Log in
Book cover

International Conference on Human-Computer Interaction

HCII 2020: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health pp 3–17Cite as

Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools

  • Conference paper
  • First Online:

  • 1758 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12198))

Abstract

When considering vehicle interior ergonomics in the automotive design and development process, it is important to be able to realistically predict the initial, more static, seated body postures of the vehicle occupants. This paper demonstrates how published statistical posture prediction models can be implemented into a digital human modelling (DHM) tool to evaluate and improve the overall posture prediction functionality in the tool. The posture prediction functionality uses two different posture prediction models in a sequence, in addition to the DHM tool´s functionality to optimize postures. The developed posture prediction functionality is demonstrated and visualized with a group of 30 digital human models, so called manikins, by using accurate car geometry in two different use case scenarios where the sizes of the adjustment ranges for the steering wheel and seat are altered. The results illustrate that it is possible to implement previously published posture prediction models in a DHM tool. The results also indicate that, depending on how the implemented functionality is used, different results will be obtained. Having access to a digital tool that can predict and visualize likely future vehicle occupants’ postures, for a family of manikins, enables designers and developers to consider and evaluate the human-product interaction and fit, in a consistent and transparent manner.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. Högberg, D.: Digital human modelling for user-centred vehicle design and anthropometric analysis. Int. J. Veh. Des. 51(3/4), 306–323 (2009)

    Article  Google Scholar 

  2. Duffy, V.G.: Handbook of Digital Human Modeling. CRC Press, Boca Raton (2009)

    Book  Google Scholar 

  3. Wischniewski, S.: Delphi survey: digital ergonomics 2025. In: Proceedings of the 2nd International Digital Human Modeling Symposium. University of Michigan, Ann Arbor (2013)

    Google Scholar 

  4. Scataglini, S., Paul, G.: DHM and Posturography. Academic Press, London (2019)

    Google Scholar 

  5. Rebiffe, R.: An ergonomic study of arrangement of the driving positions in motorcars. In: Proceedings of Symposium on Sitting Posture, Zurich, Switzerland, pp. 132–147 (1969)

    Google Scholar 

  6. Grandjean, E.: Sitting posture of car drivers from the point of view of ergonomics. In: Grandjean, E. (Ed.), Human Factors in Transport Research, Part 1. Taylor & Francis, London (1980)

    Google Scholar 

  7. Krist. R.: Modellierung des Sitzkomforts - eine experimentelle Studie. Lehrstuhl für Ergonomie, Technical University Munich, Munich (1993)

    Google Scholar 

  8. Porter, J.M., Gyi, D.E.: Exploring the optimum posture for driver comfort. Int. J. Veh. Des. 19(3), 255–266 (1998)

    Google Scholar 

  9. Reed, M.P., Manary, M.A., Flannagan, C.A.C., Schneider, L.W.: A statistical method for predicting automobile driving posture. Hum. Factors 44(4), 557–568 (2002)

    Article  Google Scholar 

  10. Reed, M.: Development of a new eyellipse and seating accommodation model for trucks and buses. University of Michigan, Transportation Research Institute. Report no. UMTRI-2005-30 (2005)

    Google Scholar 

  11. Hanson, L., Sperling, L., Akselsson, R.: Preferred car driving posture using 3-D information. Int. J. Vehicle Design 42(1/2), 154–169 (2006)

    Article  Google Scholar 

  12. Reed, M.: Driver preference for fore-aft steering wheel location. SAE Int. J. Passeng. Cars-Mech. Syst. 6(2), 629–635 (2013)

    Article  MathSciNet  Google Scholar 

  13. Park, J., Ebert, S.M., Reed, M.P., Hallman, J.J.: A statistical model including age to predict passenger postures in the rear seats of automobiles. Ergonomics 59(6), 796–805 (2015)

    Article  Google Scholar 

  14. Park, J., Ebert, S.M., Reed, M.P., Hallman, J.J.: Statistical models for predicting automobile driving postures for men and women including effects of age. Hum. Factors 58(2), 261–278 (2016)

    Article  Google Scholar 

  15. Lee, S., Park, J., Jung, K., Yang, X., You, H.: Development of statistical models for predicting a driver’s hip and eye locations. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 61, no. 1, pp. 501–504 (2017)

    Google Scholar 

  16. Reed, M.P., Manary, M.A., Flannagan, C.A.C., Schneider, L.W.: Comparison of methods for predicting automobile driver posture. In: Digital Human Modeling for Design and Engineering Conference and Exposition, SAE Technical Paper Series 2000-01-2180, Dearborn, Michigan (2000)

    Google Scholar 

  17. Huston, F.J., Zielinski, G.L., Reed, M.P.: Creation of the driver fixed heel point (FHP) CAD accommodation model for military ground vehicle design. In: Proceedings of the 2016 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), Novi, Michigan (2016)

    Google Scholar 

  18. Högberg, D., Hanson, L., Bohlin, R., Carlson, J.S.: Creating and shaping the DHM tool IMMA for ergonomic product and production design. Int. J. Digit. Hum. 1(2), 132–152 (2016)

    Article  Google Scholar 

  19. Bohlin, R., Delfs, N., Hanson, L., Högberg, D., Carlson, J.S.: Automatic creation of virtual manikin motions maximizing comfort in manual assembly processes. In: Hu, S.J. (ed.) Proceedings of the 4th CIRP Conference on Assembly Technologies and Systems, pp. 209–212 (2012)

    Google Scholar 

  20. Delfs, N., Bohlin, R., Hanson, L., Högberg, D., Carlson, J.S.: Introducing stability of forces to the automatic creation of digital human postures. In: Proceedings of DHM 2013, Second International Digital Human Modeling Symposium, USA (2013)

    Google Scholar 

  21. Bergman, C., Ruiz Castro, P., Högberg, D., Hanson, L.: Implementation of suitable comfort model for posture and motion prediction in DHM supported vehicle design. In: 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), USA (2015)

    Google Scholar 

  22. Roe, R.W.: Occupant packaging. In: Peacock, B., Karwowski, W. (eds.) Automotive Ergonomics, pp. 11–42. Taylor & Francis, London (1993)

    Google Scholar 

  23. Society of Automotive Engineers: SAE J1100 – Motor Vehicle Dimensions. Society of Automotive Engineers, Inc., Warrendale, PA (2009)

    Google Scholar 

  24. Lua: Lua the programming language. https://www.lua.org/. Accessed 20 Feb 2020

  25. Gordon, C.C., et al.: 1988 Anthropometric Survey of US Army Personnel: Methods and Summary Statistics. U.S. Army Natick Research, Development and Engineering Center, Natick, MA (1989)

    Google Scholar 

  26. Flügel, B., Greil, H., Sommer, K.: Anthropologischer atlas: grundla-gen und daten. Verlag Tribüne, Berlin (1986). (in German)

    Google Scholar 

  27. Speyer, H.: On the definition and generation of optimal test samples for design problems. Human Solutions GmbH, Kaiserslautern (1996)

    Google Scholar 

  28. Brolin, E., Högberg, D., Hanson, L.: Description of boundary case methodology for anthropometric diversity consideration. Int. J. Hum. Factors Model. Simul. 3(2), 204–223 (2012)

    Article  Google Scholar 

  29. Bertilsson, E., Högberg, D., Hanson, L.: Using experimental design to define boundary manikins. Work J. Prev. Assess. Rehabil. 41(Suppl. 1), 4598–4605 (2012)

    Google Scholar 

  30. Brolin, E., Högberg, D., Hanson, L., Örtengren, R.: Adaptive regression model for prediction of anthropometric data. Int. J. Hum. Factors Model. Simul. 5(4), 285–305 (2017)

    Article  Google Scholar 

  31. Parkinson, M.B., Reed, M.P., Kokkolaras, M., Papalambros, P.Y.: Optimizing truck cab layout for driver accommodation. ASME J. Mech. Des. 129(11), 1110–1117 (2007)

    Article  Google Scholar 

  32. Yang, Y., Klinkner, J.N., Bengler, K.: How will the driver sit in an automated vehicle? – The qualitative and quantitative descriptions of non-driving postures (NDPs) when non-driving-related-tasks (NDRTs) are conducted. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds.) IEA 2018. AISC, vol. 823, pp. 409–420. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-96074-6_44

    Chapter  Google Scholar 

Download references

Acknowledgements

This work has been made possible with the support from The Knowledge Foundation and the associated INFINIT research environment at the University of Skövde (projects: Virtual Driver Ergonomics, Synergy Virtual Ergonomics and ADOPTIVE), in Sweden, and SAFER - Vehicle and Traffic Safety Centre at Chalmers, Sweden, and by the participating organizations. This support is gratefully acknowledged.

Author information

Authors and Affiliations

  1. School of Engineering Science, University of Skövde, Skövde, Sweden

    Erik Brolin & Dan Högberg

  2. Ergonomics, Customer Experience Centre, Volvo Cars, Gothenburg, Sweden

    Pernilla Nurbo

Authors
  1. Erik Brolin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dan Högberg
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pernilla Nurbo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Erik Brolin .

Editor information

Editors and Affiliations

  1. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Brolin, E., Högberg, D., Nurbo, P. (2020). Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49904-4_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49903-7

  • Online ISBN: 978-3-030-49904-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation