Experimental verification of a computational technique for determining ground reactions in human bipedal stance.

摘要: Abstract We have developed a three-dimensional (3D) biomechanical model of human standing that enables us to study the mechanisms posture and balance simultaneously in various directions space. Since two feet are on ground, system defines kinematically closed-chain which has redundancy problems cannot be resolved using laws mechanics alone. computational (optimization) technique avoids with formulation thus giving users such models ability make predictions joint moments, potentially, muscle activations more sophisticated musculoskeletal models. This paper describes experimental verification is used estimate ground reaction vector acting an unconstrained foot while other attached allowing bipedal analyzed as open-chain system. The approach was verified terms its predict lower extremity moments derived from inverse dynamic simulations performed data acquired four able-bodied volunteers postures force platforms. Sensitivity analyses indicated (GRF) center pressure (COP) components were most critical for providing better estimates moments. Overall, predicted by optimization strongly correlated computed experimentally measured GRF COP ( 0.78 ⩽ r 2 0.99 , median 0.96 ) best-fit not statistically different straight line unity slope (experimental=computational results) subjects examined. These results indicate this model-based can relied upon reasonable consistent postures.