Dynamic Optimization of Human Stair-Climbing Motion

2008-01-1931

06/17/2008

Event
Digital Human Modeling for Design and Engineering Symposium
Authors Abstract
Content
The objective of this paper is to present our method of predicting and simulating visually realistic and dynamically consistent human stair-climbing motion. The digital human is modeled as a 55-degrees of freedom branched mechanical system with associated human anthropometry-based link lengths, mass moments of inertia, and centers of gravity. The joint angle profiles are determined using a B-spline-based parametric optimization technique subject to different physics-based, task-based, and environment-based constraints. The formulation offers the ability to study effects of the magnitude and location of external forces on the resulting joint angle profiles and joint torque profiles. Several virtual experiments are conducted using this optimization-based approach and results are presented.
Meta TagsDetails
DOI
https://doi.org/10.4271/2008-01-1931
Pages
10
Citation
Bhatt, R., Xiang, Y., Kim, J., Mathai, A. et al., "Dynamic Optimization of Human Stair-Climbing Motion," SAE Technical Paper 2008-01-1931, 2008, https://doi.org/10.4271/2008-01-1931.
Additional Details
Publisher
Published
Jun 17, 2008
Product Code
2008-01-1931
Content Type
Technical Paper
Language
English