Human Grasp Prediction and Analysis

Tim Marler (), Ross Johnson, Faisal Goussous, Chris Murphy, Steve Beck and Karim Abdel-Malek
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Tim Marler: University of Iowa
Ross Johnson: University of Iowa
Faisal Goussous: University of Iowa
Chris Murphy: University of Iowa
Steve Beck: University of Iowa
Karim Abdel-Malek: University of Iowa

A chapter in Safety and Risk Modeling and Its Applications, 2011, pp 397-424 from Springer

Abstract: 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.

Keywords: Joint Angle; Target Point; Human Hand; Revolute Joint; Reach Analysis (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-470-8_14

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DOI: 10.1007/978-0-85729-470-8_14

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