3D HUMAN LIFTING MOTION PREDICTION WITH DIFFERENT PERFORMANCE MEASURES
作者： YUJIANG XIANG , JASBIR S. ARORA , KARIM ABDEL-MALEK
DOI: 10.1142/S0219843612500120
关键词:
摘要: This paper presents an optimization-based method for predicting a human dynamic lifting task. The three-dimensional digital skeletal model has 55 degrees of freedom. Lifting motion is generated by minimizing objective function (human performance measure) subjected to basic physical and kinematical constraints. Four functions are investigated in the formulation: effort, balance criterion, maximum shear force at spine joint pressure joint. simulation results show that various measures predict different strategies: back-lifting effort generate squat-lifting motion. In addition, effects box locations on strategies also studied. All kinematics kinetic data successfully predicted using predictive dynamics algorithm optimal solution was obtained about one minute.
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