Realistic Posture Prediction for Maximum Dexterity

2001-01-2110

06/26/2001

Event
Digital Human Modeling For Design And Engineering Conference And Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2001-01-2110
Pages
12
Citation
Abdel-Malek, K., Yu, W., Jaber, M., and Duncan, J., "Realistic Posture Prediction for Maximum Dexterity," SAE Technical Paper 2001-01-2110, 2001, https://doi.org/10.4271/2001-01-2110.
Additional Details
Publisher
Published
Jun 26, 2001
Product Code
2001-01-2110
Content Type
Technical Paper
Language
English