Work performed since the beginning of the project and the main results achieved so far. The work performed during the first six months (Period 2) of project activities has been directed to the achievement of milestone MS4 (Month 18). The progress towards the achievement of this milestone passed through a devised and well-coordinated execution of tasks and sub-tasks under the relevant WPs, namely WP2, WP3, WP4 and WP5. Considering the relevant dependency of the technical development work packages (WP3, WP4 and WP5) with the main scientific model and target user work package (WP2), the scientific and technical coordinators have agreed to follow a WP interaction approach based on an iterative instead of a sequential method. For this purpose the progress of work in WP2, leading to the main objective of the Active Ageing Lifestyle Protocol definition, has been constantly reported to the dependent technical WP leaders (as demonstrated by several meetings between the medical and technical partners) and, in parallel, several technological constraints have been taken into consideration by the clinical partners in the selection of the more appropriate set of protocols. The main result of this constructive interaction is the common definition and design agreed by both clinical and technical partners of the Active Ageing Lifestyle Protocol of the DOREMI project, described in D2.3 (submission March, 31st): its structural elements are the matching areas between monitoring parameters available by the use of the technology and the items of the protocols needed to provide the evaluation scales WP3 was focused on the development of WSN environment and the auto configuration system. These elements were developed gathering requirements in coordination with WP2 and WP4. In particular, in WP3 was: • selected most appropriate sensors and devices and started designing and development of sensors and devises foreseen in the project (bracelet) or integrated in commercial solutions (smart carpet); • performed a data collection and retrieval layer necessary for data processing and interoperability with the smart environment (WP4); • developed the auto configuration system and the integration of sensors in WSN environment. WP4 has worked on the identification of computational learning tasks of Activity Recognition and its requirements investigating machine-learning solutions for both explorative and predictive data analysis. In particular, WP4 has: • contributed to the design of high-level DOREMI system architecture throughout a close integrated activity between clinical ...
