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Systems Anthropometry of Digital Human Models for Seat Design

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Advances in Physical Ergonomics and Human Factors (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 602))

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Abstract

Traditional vehicle package engineering assumes that driver anthropometry and the location of vehicle controls determine driver posture, and thus seat parameters. Due failure of this approach to provide comfortable seating conditions, ERL combines a systems anthropometry model with a force deflection model of the seat and soft tissue digital human model (DHM) to design seat specifications for the driving package. With the systems anthropometry model, we optimize seat design for calculated driver positions and postures. We derive comfort scores from measurements of the interface between the DHM, seat and controls. Analysis of 13 passenger cars and 10 utility vehicles shows that drivers adapt to vehicle interiors with different postures that are inconsistently associated with vehicle type. In conclusion, the seat affects how and where we sit. Thus, DHMs are needed for both seat and package design at the very beginning of vehicle development.

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Acknowledgements

The authors are grateful for the valuable work and contributions of all the personnel at ERL, LLC without whom this work would have never been done: Ray Brodeur, Kal Rayes, George Stockman, Bryce Hauptman, Bob Nemeth, Rich Gregg, Tim Russell, Tom Mitchell, Tom Robinson, Robert Allie, Joe Deming, Florin Burlacu, and Bill McMillan. Without their unique and creative contributions, this model would not have been developed.

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Correspondence to Gunther Paul .

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Reynolds, H., Paul, G. (2018). Systems Anthropometry of Digital Human Models for Seat Design. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics and Human Factors. AHFE 2017. Advances in Intelligent Systems and Computing, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-319-60825-9_21

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  • DOI: https://doi.org/10.1007/978-3-319-60825-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60824-2

  • Online ISBN: 978-3-319-60825-9

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