Conference proceeding
Optimization-based Dynamic Human Lifting Prediction
SAE Technical Paper Series
Digital Human Modeling for Design and Engineering Symposium
06/17/2008
DOI: 10.4271/2008-01-1930
Abstract
In this study, an optimization-based approach for simulating the lifting motion of a three dimensional digital human model is presented. Lifting motion is generated by minimizing a performance measure subjected to basic physical and kinematical constraints. Two performance measures are investigated: one is the dynamic effort; the other is the compression and shear forces on the lumbar joint. The lifting strategies are predicted with different performance measures. The joint strength (torque limit) and the compression and shear force on lumbar joint are also addressed in this study to avoid injury during lifting motion.
Details
- Title: Subtitle
- Optimization-based Dynamic Human Lifting Prediction
- Creators
- Yujiang XiangSalam RahmatallaHyun-Joon ChungJoo KimRajankumar BhattAnith MathaiSteve BeckTimothy MarlerJingzhou YangJasbir S AroraKarim Abdel-MalekJohn P Obusek
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling for Design and Engineering Symposium
- Series
- SAE Technical Paper Series
- DOI
- 10.4271/2008-01-1930
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/17/2008
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Iowa Technology Institute; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984196552002771
Metrics
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