Realtime identification software for human whole-body segment parameters using motion capture and its visualization interface

The segment parameters of the human body are indispensable to compute the motion dynamics. They are used in numerous medical fields, in biomechanics and rehabilitation. Inaccuracies in the parameters generate errors in the interpretation of the motion analysis. So far no systematic method to estimate them has been proposed, rather parameters are scaled from generic tables or estimated with inappropriate methods for a clinical use. Based on our previous works, we have developed a software and interface that allow to estimate in real-time the whole-body segment parameters, and to visualize the convergence towards the identification results in real time.