In this deliverable we present the Virtual User Models of the workers (wVUMs) and the Workplace Models of the Ageing@Work platform. The aim of the wVUM is to persist and represent information about the skills, needs, requirements, behaviour activities and health issues of the worker both at workplace and at home. To this end, the wVUM is a representation of physiological, psychometrics, anthropometrics, behavioural, workability and socialization parameters describing each worker both at work and at home, with the aim to provide personalized tools to ageing workers according to their actual needs and status and improve both their quality of life and productivity. Furthermore, the computational part of the wVUM is able to utilise rules and predictions according to worker’s behavior, in order to deliver individualized recommendations and reinforce worker’s improved well-being. In this context for example, physical inactivity can be predicted through the application of machine learning techniques, thereby providing the means (e.g., through virtual coaching) to warn the workers about unhealthy behaviours in advance and promote their improved health and lifestyle management. The wVUMs are able to communicate their persisted information to the Ageing@Work apps through well-defined application programming interfaces (APIs) based on the Representational State Transfer (REST) architecture, towards the provision of a robust and extensible solution. In addition, in this deliverable we present the Ageing@Work framework for developing Virtual Workplace Models (VWM), coupled with user-friendly possibilities to add semantic annotations on the machines and tools used, and capabilities to model work tasks and scenarios. The opportunity to simulate work tasks in virtual environments allows to avoid onsite learning on real machines and facilitates the practice of potentially dangerous actions while providing the possibility for unlimited remote training experience. A VWM schema is first introduced that supports environmental factors along with modelling parameters of a working space (in industrial, office or home settings) in several layers of representation (3D point clouds, meshes, etc) along with the necessary kinematic and interaction properties. Ageing@Work has received funding from the EU Horizon 2020 Framework Programme for Research and Innovation under Grant Agreement No 826299
