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Optimization-based Dynamic Human Lifting Prediction
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 17, 2008 by SAE International in United States
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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.
- Yujiang Xiang - The University of Iowa
- Salam Rahmatalla - The University of Iowa
- Hyun-Joon Chung - The University of Iowa
- Joo Kim - The University of Iowa
- Rajankumar Bhatt - The University of Iowa
- Anith Mathai - The University of Iowa
- Steve Beck - The University of Iowa
- Timothy Marler - The University of Iowa
- Jingzhou Yang - The University of Iowa
- Jasbir S. Arora - The University of Iowa
- Karim Abdel-Malek - The University of Iowa
- John P. Obusek - US Army Natick Soldier Research
CitationXiang, Y., Rahmatalla, S., Chung, H., Kim, J. et al., "Optimization-based Dynamic Human Lifting Prediction," SAE Technical Paper 2008-01-1930, 2008, https://doi.org/10.4271/2008-01-1930.
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