Conference proceeding
Realistic Posture Prediction for Maximum Dexterity
SAE Technical Paper Series, 2001-01-2110
Digital Human Modeling For Design And Engineering Conference And Exhibition
06/26/2001
DOI: 10.4271/2001-01-2110
Abstract
This paper presents an efficient numerical formulation for the prediction of realistic postures. This problem is defined by the method (or procedure) used to predict the posture of a human, given a point in the reachable space. The exposition addresses (1) the determination whether a point is reachable (i.e., does is it exist within the reach envelope) and (2) the calculation of a posture for a given point. While many researchers have used either statistical models of empirical data or the traditional geometric inverse kinematics method for posture prediction, we present a method based on kinematics for modeling, but one that uses optimization of a cost function to predict a realistic posture. It is shown that this method replicates the human mind in selecting a posture from an infinite number of possible postures. We illustrate the methodology and an accompanying experimental code through a planar and a spatial example, and validation using commercial human modeling and simulation code.
Details
- Title: Subtitle
- Realistic Posture Prediction for Maximum Dexterity
- Creators
- Karim Abdel-MalekWei Yu - University of IowaMohamad JaberJerry Duncan
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling For Design And Engineering Conference And Exhibition
- Series
- SAE Technical Paper Series; 2001-01-2110
- DOI
- 10.4271/2001-01-2110
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/26/2001
- Academic Unit
- Mechanical Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984196514102771
Metrics
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