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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Xiang YujiangDr.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 h. N° de réf. du vendeur 4978052
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Taschenbuch. Etat : Neu. 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. N° de réf. du vendeur 9783639328417
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Taschenbuch. Etat : Neu. Optimization-based dynamic human gait prediction | Application of predictive dynamics method | Yujiang Xiang | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639328417 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107107652
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