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Safety and Risk Modeling and Its Applications pp 397–424Cite as

Human Grasp Prediction and Analysis

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Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

Given that one of the critical motivations for using virtual humans is to simulate the interaction between humans and products, and given that using one’s hands are a primary means for interaction, then simulating human hands is arguably one of the most important elements of digital human modeling (DHM). Consequently, there is much research and development in this area, ranging from basic model development to detailed simulations of specific joints and tendons. However, when considering hand simulation and analysis within the context of a complete high-level DHM, the culmination of hand-related capabilities is grasping prediction. Thus, the focus of this chapter is on postural simulation and analysis capabilities of the overall hand as a component of a complete high-level DHM, with an eye toward grasping prediction. Within this context, the fundamental necessary elements one must consider when modeling the hand are highlighted. The intent is to provide general guidelines for creating computational models of hands and to present novel modeling and simulation techniques.

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Author information

Authors and Affiliations

  1. Center for Computer Aided Design, University of Iowa, 111 Engineering Research Facility, Iowa City, Iowa, 52242, USA

    Tim Marler, Ross Johnson, Faisal Goussous, Chris Murphy, Steve Beck & Karim Abdel-Malek

Authors
  1. Tim Marler
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  2. Ross Johnson
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  3. Faisal Goussous
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  4. Chris Murphy
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  5. Steve Beck
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  6. Karim Abdel-Malek
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Correspondence to Tim Marler .

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Editors and Affiliations

  1. , Department of Industrial & Systems, Rutgers University, Frelinghuysen Road 96, Piscataway, 08854-8018, New Jersey, USA

    Hoang Pham

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Marler, T., Johnson, R., Goussous, F., Murphy, C., Beck, S., Abdel-Malek, K. (2011). Human Grasp Prediction and Analysis. In: Pham, H. (eds) Safety and Risk Modeling and Its Applications. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-470-8_14

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  • DOI: https://doi.org/10.1007/978-0-85729-470-8_14

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  • Print ISBN: 978-0-85729-469-2

  • Online ISBN: 978-0-85729-470-8

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