Finite Element Human Body Models (HBM) have become powerful tools for injury prediction. However, they are developed for a few limited size and age in a few standardized positions, limiting their usage. The aim of the FP7 European Commission co-funded project PIPER, initiated in November 2013, is to develop a modular open source (License GPL v3) framework with advanced numerical methods to personalize and position a HBM. Challenges are to design a user friendly software, usable for any Finite Element code (customizable parser) and any HBM through the definition of HBM metadata, which proposes numerical methods to transform HBMs that lead to an output model, the mesh quality of which is preserved. The current version is developed using standard tools and codes (C++, python, Qt, VTK...). Dual Kriging interpolation method [1] is implemented for non-linear scaling of the HBM. For positioning, a lightweight physics models is generated from HBM. It can be interactively manipulated by the user to define the targeted position. In addition, specific approaches are available, namely the Frame-based approach [1] and the Contour based approach [2]. The preliminary version of the software (windows and linux versions) was tested by 5 partners on 3 models in predefined scenarios (see figure). The performance evaluation of the transformation methods regarding the mesh quality demonstrates the critical need for mesh improvement tools. This issue however strongly depends on the design features of the HBMs such as the coupling between soft tissue deformation and the bones transformation. Finally, to help the definition of a complete set of personalizing or positioning targets, statistical a priori knowledge will be introduced.