HUMAN STAIR ASCENT AND DESCENT SIMULATIONS

被引：0

作者：

Xiang, Yujiang ^{[1
]}

Kim, Joo H. ^{[2
]}

Chung, Hyun-Joon ^{[3
]}

Yang, James ^{[4
]}

Kwon, Hyun-Jung ^{[5
]}

机构：

[1] Univ Alaska Fairbanks, Dept Mech Engn, Fairbanks, AK 99775 USA

[2] NYU, Dept Mech & Aerosp Engn, Brooklyn, NY 11201 USA

[3] Univ Iowa, CCAD, Iowa City, IA 52242 USA

[4] Texas Tech Univ, Dept Mech Engn, Lubbock, TX 79409 USA

[5] Ohio State Univ, IBRC, Columbus, OH 43210 USA

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 1A | 2014年

关键词：

HUMAN WALKING; BIPED ROBOT; GAIT CYCLE; OPTIMIZATION; FORMULATION; PREDICTION; KNEE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

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