Corici, Andreea AncutaAndreea AncutaCoriciKuntz, SimoneSimoneKuntzJansen, MareikeMareikeJansenGrohnert, AnneAnneGrohnertLiebscher, GregorGregorLiebscherHäusler, BennyBennyHäuslerCorici, Marius-IulianMarius-IulianCoriciLahmann, NilsNilsLahmannZope, HemantHemantZopeEichhorn, FabianFabianEichhornBormann, TimTimBormannMousa, CelinCelinMousaSeridarian, ZakZakSeridarianShamasna, SulaimanSulaimanShamasna2025-03-192025-03-192024-11-18https://publica.fraunhofer.de/handle/publica/48569310.1109/HealthCom60970.2024.10880760In the context of healthcare for elderly patients, especially in areas located far from rehabilitation clinics, providing remotely assisted prevention and treatment enabled by reliable and secure connectivity through micro-networks based on technologies like 5G and beyond, could be a viable alternative to regularly transporting the elderly to the clinics, potentially improving their quality of life. This paper analyses the needs of such a system featuring fall detection and risk assessment as well as rehabilitation at home and presents the design of the End-to-End interoperable and secure software system and the planned validation.en5GData AnalysisBody TrackingAccess ControlFall Risk Assessmentconference paper