The European population is aging. New strategies, systems, and technologies are needed that use already existing data collection systems in the living environment and support a self-determined life for individuals and, thus, society in the sense of lifelong assistance. The DuITeasy project is developing an open, interoperable ecosystem based on the ForeSightNEXT reference architecture to create innovative, intelligent, and adaptive lifelong assistance services based on distributed data sources while maintaining high data protection. The partners in DuITeasy are developing an assistance dataspace on the blueprints from the lead project, as well as services that combine multimodal data sources into complex applications. The integration of ordering systems, delivery services, and smart home data from home and community areas results for the first time in a continuous and individualizable offer of interlocking services of everyday assistance. DuITeasy also realizes more advanced assistance offerings with the assistance dataspace, ranging from activity recognition to complex, AI-supported, multi-sensory emergency recognition and integrated home emergency call functionality. Here, too, the result is a lifelong service offering that is modular and easily adaptable to new needs thanks to the federated ecosystem architecture.
The Smart Energy Systems group from the Research Department Cognitive Assistants develops prediction methods for life-accompanying everyday assistance in general. Furthermore, prediction methods specifically for an activity, emergency detection, and everyday assistance are developed and semantically described.
The Connected Intelligent Systems (CIS) team from the Research Department Agents and Simulated Reality (ASR) provides the DuITeasy project with a federated, semantic smart living dataspace based on Gaia-X and ForeSightNEXT. In the project context, the dataspace is used for data exchange in the "DudoPark" test area in Saarbrücken. It connects energy, smart living, and booking systems and data silos, ensuring interoperability between the system environments involved and standardizing data exchange. A corresponding DudoPark APP utilizes the data for various combined applications "from one mold."
