Conference proceeding
Lifting Posture Analysis in Material Handling Using Virtual Humans
Manufacturing Engineering and Materials Handling, Parts A and B, Vol.16-2, pp.1445-1453
ASME 2005 International Mechanical Engineering Congress and Exposition, Orlando, Florida, USA, Nov. 05 - 11, 2005
01/01/2005
DOI: 10.1115/IMECE2005-81801
Abstract
Adopting appropriate postures during manual material-handling tasks is the key to reducing human joint injuries. Although much experimentation has been conducted in an effort to model lifting, such an approach is not general enough to consider all potential scenarios in material handling. Thus, in this paper an optimization-based motion prediction method is used to simulate realistic lifting postures and predict joint torques to evaluate the risk level of injury. A kinematically realistic digital human model has been developed such that the complicated musculoskeletal human structure is modeled as a combination of serial chains using the generalized coordinates. Lagrange’s equations of motion and metabolic energy rate are derived for the digital human. The proposed method has been implemented to predict and evaluate the lifting postures based on the metabolic rate and joint torques. Our results show that different amount of external loads and tasks lead to different human postures and joint torque distribution, thus different risk level of injury.
Details
- Title: Subtitle
- Lifting Posture Analysis in Material Handling Using Virtual Humans
- Creators
- Joo H Kim - University of IowaKarim Abdel-Malek - University of IowaJingzhou Yang - University of IowaTimothy Marler - University of IowaKyle Nebel - United States Department of the Army
- Resource Type
- Conference proceeding
- Publication Details
- Manufacturing Engineering and Materials Handling, Parts A and B, Vol.16-2, pp.1445-1453
- Conference
- ASME 2005 International Mechanical Engineering Congress and Exposition, Orlando, Florida, USA, Nov. 05 - 11, 2005
- DOI
- 10.1115/IMECE2005-81801
- Publisher
- ASMEDC
- Language
- English
- Date published
- 01/01/2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Mechanical Engineering
- Record Identifier
- 9984196530702771
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