Fusion of Multiple Motion Capture Systems for Musculoskeletal Analysis An accurate and convenient method of measuring human movements is essential for human motion analysis. In recent days, several types of motion capture system became available. Since each measurement technology has both merits and demerits, their suitable choice depends on each application or varying situations. Therefore, it is important that the motion analysis software should flexibly select and be connected to several measurement systems simultaneously according to target applications. This paper presents a software designed to manage different motion capture systems and to perform the musculoskeletal analysis. It allow us not only to get data from different systems but also give us the capability of synchronizingmerging their data.

Assessing and improving human movements using sensitivity analysis and digital human simulation Enhancing the performance of technical movements aims both at improving operational results and at reducing biomechanical demands. Advances in human biomechanics and modeling tools allow to evaluate human performance with more and more details. Finding the right modifications to improve the performance is, however, still addressed with extensive time consuming trialanderror processes. This paper presents a framework for easily assessing human movements and automatically providing recommendations to improve their performances. An optimizationbased wholebody controller is used to dynamically replay human movements from motion capture data, to evaluate existing movements. Automatic digital human simulations are then run to estimate performance indicators when the movement is performed in many different ways. Sensitivity indices are thereby computed to quantify the influence of postural parameters on the performance. Based on the results of the sensitivity analysis, recommendations for posture improvement are provided. The method is successfully validated on a drilling activity.