Book chapter
Human Grasp Prediction and Analysis
Safety and Risk Modeling and Its Applications, pp.397-424
Springer Series in Reliability Engineering, Springer London
09/08/2011
DOI: 10.1007/978-0-85729-470-8_14
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.
Details
- Title: Subtitle
- Human Grasp Prediction and Analysis
- Creators
- Tim Marler - University of IowaRoss Johnson - University of IowaFaisal Goussous - University of IowaChris Murphy - University of IowaSteve Beck - University of IowaKarim Abdel-Malek - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Safety and Risk Modeling and Its Applications, pp.397-424
- Publisher
- Springer London; London
- Series
- Springer Series in Reliability Engineering
- DOI
- 10.1007/978-0-85729-470-8_14
- eISSN
- 2196-999X
- ISSN
- 1614-7839
- Language
- English
- Date published
- 09/08/2011
- Academic Unit
- Mechanical Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984196609202771
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