Optimization-based dynamic human gait prediction : Application of predictive dynamics method

Yujiang Xiang

ISBN 10: 3639328418 / ISBN 13: 9783639328417

Published by VDM Verlag Dr. Müller, 2011

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - A new methodology, called predictive dynamics, is introduced in this work to simulate human walking using a spatial digital human model. The digital human model has 55 degrees of freedom. The resultant action of all the muscles at a joint is lumped and represented by the torque at each degree of freedom. In addition, the cubic B-spline interpolation is used for time discretization and the well- established robotic formulation of the Denavit- Hartenberg (DH) method is used for kinematics analysis of the mechanical system. The recursive Lagrangian formulation is used to develop the equations of motion. The ground reaction forces (GRF) are obtained from a novel two-step active- passive algorithm. The problem is formulated as a nonlinear optimization problem. A unique feature of the formulation is that the equations of motion are not integrated explicitly, but evaluated by inverse dynamics in the optimization process. Besides normal walking, several other cases are also considered, such as walking with a shoulder backpack of varying loads, walking at different speed, walking with asymmetric step lengths, and walking with reduced torque limits.

Seller Inventory # 9783639328417

Bibliographic Details

• Title: Optimization-based dynamic human gait prediction : Application of predictive dynamics method
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639328418
• ISBN 13: 9783639328417
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 22W x 15H x 0.9D centimeters 22 centimeters width by 15 centimeters height by 0.9 centimeters depth
• Weight: 249 grams

About this title

Synopsis

A new methodology, called predictive dynamics, is introduced in this work to simulate human walking using a spatial digital human model. The digital human model has 55 degrees of freedom. The resultant action of all the muscles at a joint is lumped and represented by the torque at each degree of freedom. In addition, the cubic B-spline interpolation is used for time discretization and the well- established robotic formulation of the Denavit- Hartenberg (DH) method is used for kinematics analysis of the mechanical system. The recursive Lagrangian formulation is used to develop the equations of motion. The ground reaction forces (GRF) are obtained from a novel two-step active- passive algorithm. The problem is formulated as a nonlinear optimization problem. A unique feature of the formulation is that the equations of motion are not integrated explicitly, but evaluated by inverse dynamics in the optimization process. Besides normal walking, several other cases are also considered, such as walking with a shoulder backpack of varying loads, walking at different speed, walking with asymmetric step lengths, and walking with reduced torque limits.

About the Author

Dr.Yujiang Xiang is an assistant research engineer in the Virtual Soldier Research program. He received his B.S. (2001) and M.S. (2004) in automotive engineering at Tsinghua University (Beijing, China). He received his Ph.D.(2008) in civil engineering at The University of Iowa, with a focus on predictive dynamics human motion simulation.