@inproceedings{0d4bda1e64ff4b98943abe4e967ca4c1,
title = "Human stair ascent and descent simulations",
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.",
author = "Yujiang Xiang and Chung, {Hyun Joon} and Kwon, {Hyun Jung} and Kim, {Joo H.} and James Yang",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME.; ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 ; Conference date: 17-08-2014 Through 20-08-2014",
year = "2014",
doi = "10.1115/DETC201434324",
language = "English (US)",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "34th Computers and Information in Engineering Conference",
}