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Methodology of Digital Firearm Ergonomic Design

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Advances in Ergonomics Modeling, Usability & Special Populations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 486))

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Abstract

This paper describes a methodological human centered approach during handgun design. For evaluation of reach distances to handgun controls (trigger, slide stop, magazine catch) a digital human models and ergonomic software were used. With these digital human models a variety of minimal, maximal and average reach distance for Americans, Europeans and Asians were proposed. Distances for American and European population were used for creation of a handgun functional sample. Test shooting performed with this functional sample was evaluated by a questionnaire which was filled by 18 male members of armed forces. These responses evaluated the suitability of functional sample and identified specific parameters for future improvement.

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Acknowledgments

This paper was created with the subsidy of the internal grant SGS-2015-065-Developing sustainable production system parameters carried out with the support of University of West Bohemia.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, University of West Bohemia, Univerzitni 8, 30614, Pilsen, Czech Republic

    Marek Bures, Tomas Görner, Antonin Miller & Martin Kaba

Authors
  1. Marek Bures
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  2. Tomas Görner
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  3. Antonin Miller
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  4. Martin Kaba
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Corresponding author

Correspondence to Marek Bures .

Editor information

Editors and Affiliations

  1. Rua Antonio Valdevino da Costa, 280, Federal University of Pernambuco, Recife, Brazil

    Marcelo Soares

  2. RuaVisconde de Jequitinhonha, Catholic University of Pernambuco, Recife, Brazil

    Christianne Falcão

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

    Tareq Z. Ahram

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Bures, M., Görner, T., Miller, A., Kaba, M. (2017). Methodology of Digital Firearm Ergonomic Design. In: Soares, M., Falcão, C., Ahram, T. (eds) Advances in Ergonomics Modeling, Usability & Special Populations. Advances in Intelligent Systems and Computing, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-41685-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-41685-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41684-7

  • Online ISBN: 978-3-319-41685-4

  • eBook Packages: EngineeringEngineering (R0)

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