Creating and retargetting motion by the musculoskeletal human body model

Recently, optimization has been used in various ways to interpolate or reta rget human body motions obtained by motion-capturing systems. However, in s uch cases, the inner structure of a human body has rarely been taken into a ccount, and hence there have been difficulties in simulating physiological effects such as fatigue or injuries. In this paper, we propose a method to create/retarget human body motions using a musculoskeletal human body model . Using our method, it is possible to create dynamically and physiologicall y feasible motions. Since a muscle model based on Hill's model is included in our system, it is also possible to retarget the original motion by chang ing muscular parameters. For example, using the muscle fatigue model. a mot ion where a human body gradually gets tired can be simulated. By increasing the maximal force exertable by the muscles, or decreasing it to zero, trai ning or displacement effects of muscles can also be simulated. Our method c an be used for biomechanically correct inverse kinematics, interpolation of motions, and physiological retargetting of the human body motion.