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Predictive Simulation of Human Walk-to-Run Transition

[+] Author Affiliations
Hyun-Joon Chung, Yujiang Xiang, Rajan Bhatt, Jasbir S. Arora, Karim Abdel-Malek

The University of Iowa, Iowa City, IA

Paper No. DETC2012-70171, pp. 653-657; 5 pages
doi:10.1115/DETC2012-70171
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4501-1
  • Copyright © 2012 by ASME

abstract

A general optimization formulation for walk-to-run transition prediction using 3D skeletal model is presented. The walk-to-run transition is used to connect fast walking to slow running by using a step-to-step transition formulation. Walk-to-run transition includes four phases: double support walking phase, single support swinging phase, running phase, and finally single support running phase. The transition task is formulated as an optimization problem in which the dynamic effort is minimized subject to basic physical constraints. The joint torques and ground reaction forces (GRF) are recovered and analyzed from the simulation. The optimal solution of transition simulation is obtained in a few minutes by using predictive dynamics method.

Copyright © 2012 by ASME
Topics: Simulation

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