Real-time identification and visualization of human segment parameters

Mass parametersof the body segments are mandatory to study motion dynamics. No systematic method to estimate them has been proposed so far. Rather, parameters are scaled from generic tables or estimated with methods inappropriate for in-patient care. Based on our previous works, we propose a real-time software that allows to estimate the whole-body segment parameters, and to visualize the progresses of the completion of the identification. The visualization is used as a feedback to optimize the excitation and thus the identification results. The method is experimentally tested.