Optimization-based dynamic human lifting prediction

Yujiang Xiang, Salam Rahmatalla, Hyun Joon Chung, Joo Kim, Rajankumar Bhatt, Anith Mathai, Steve Beck, Timothy Marler, Jingzhou Yang, Jasbir S. Arora, Karim Abdel-Malek, John P. Obusek

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations


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.

Original languageEnglish
JournalSAE Technical Papers
StatePublished - 2008
EventDigital Human Modeling for Design and Engineering Conference and Exhibition - Pittsburgh, PA, United States
Duration: Jun 17 2008Jun 19 2008


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