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A Middleware for Self-Organising Distributed Ambient Assisted Living Applications

2015/11/03 by Jan Thomas Schaefer, Schaefer, Jan
Computer Science · #Context-Aware Activity Recognition Systems #Data Stream Mining Techniques #Time Series Analysis and Forecasting

paper · doi:10.14279/tuj.eceasst.27.376

openalex publication_date 2024/04/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/01

Abstract

This paper presents a middleware approach for self-organising distributed applications in the area of Ambient Assisted Living (AAL) as part of a home service platform. The middleware uses real time data processing techniques to identify complex events based on sensor input and service logs. This low-level and high-level information represents the platform’s context model, which forms the basis for self-organisation properties: Controllers use context information to manage running services while adhering to strategies defined by users or inferred by the system itself.

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