The project focuses on pervasive environments for health that are scalable across multiple users, multiple devices, and are designed for long-term use. Users will be able to employ exercise games (Exergames) to the benefit of their health using a variety of different devices and sensors available at their home, including existing game-related tracking devices, e.g. the Kinect, but also smartwatches, fitness trackers or other sensors in the smart environment. We investigate the potential of motivating interfaces that allow for long-term user engagement within these environments while adapting to user specific needs and preferences. We focus on playful interactive interfaces within pervasive environments and examine methods to build them in a scalable way that incorporates existing non-pervasive Exergames and off-the-shelf games that can be turned into pervasive games for health. The second focus area of this project is the use of augmented and virtual reality environments to facilitate scalable development and evaluation of pervasive health environments in complex multi-device scenarios. This includes the application of machine learning (ML) techniques for data-driven long-term evaluation and prediction. This will enable users to play games for health adapted to their specific preferences and needs, utilizing the devices and wearables in their home in a pervasive and scalable way.