The wearable sensor platform proposed in CONVERGENCE is centred on energy efficient wearable proof-of-concepts at system level exploiting data analytics developed in a context driven approach (in contrast with more traditional research where the device level research and the data analytics are carried out on separate path, rarely converging). Here we choose realistic wearable form factors for our energy efficient systems such as wrist-based and patch-based devices. Their advancements, as autonomous systems is foreseen in CONVERGENCE to offer unique solutions for new generations of frictionless (non-invasive) quasi-continuous healthcare and environmental monitoring, and for forthcoming smart apparel with embedded autonomous sensing. At long term, the CONVERGENCE platform will form the basis for new generations of human-machine interfaces. Such energy efficient, wireless and multifunctional wearable systems will beneficially track and interact with the end-user through appropriate feedback channels on a daily basis. They will enable personalized advice and assistance promoting healthier lifestyle and improved healthcare prevention, far beyond what today’s wireless sensor networks are capable of providing. The project connects some of the best research in national and/or European projects, with a demonstrated potential of TRL level for system integration, of the partners constituting the Consortium and networks with end users in the healthcare field. The CONVERGENCE project supports holistically - by multiple efforts at technology, system integration, algorithms and data analytics levels - the advancement of early detection, minimisation of risks and prevention-based healthcare and lifestyle, based on the deployment of some focused embodiments of wearable technology for interactive monitoring and assessment. CONVERGENCE