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Human Stair Ascent and Descent Simulations

[+] Author Affiliations
Yujiang Xiang

University of Alaska Fairbanks, Fairbanks, AK

Joo H. Kim

New York University, Brooklyn, NY

Hyun-Joon Chung

University of Iowa, Iowa City, IA

James Yang

Texas Tech University, Lubbock, TX

Hyun-Jung Kwon

The Ohio State University, Columbus, OH

Paper No. DETC2014-34324, pp. V01AT02A032; 4 pages
doi:10.1115/DETC2014-34324
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1A: 34th Computers and Information in Engineering Conference
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4628-5
  • Copyright © 2014 by ASME

abstract

Human stair ascent and descent are simulated in this work by using a skeletal digital human model with 55 degrees of freedom (DOFs). Hybrid predictive dynamics approach is used to predict the stair climbing motion with weapons and backpacks. In this process, the model predicts joints dynamics using optimization schemes and task-based physical constraints. The results indicated that the model can realistically match human motion and ground reaction forces data during stair climbing tasks. This can be used in human health domain such as leg prosthesis design.

Copyright © 2014 by ASME

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