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GAiST

Living Independently in Old Age Through Smart Home Technology – The aging population presents new challenges for society and the healthcare system. Older adults want to live independently in their own homes for as long as possible, while at the same time safety and support must be ensured. The GAIST project is developing an intelligent smart home system that monitors residents’ daily routines, health conditions, and preferences and provides adaptive support. By combining sensor technology, AI-powered data analysis, and personalized recommendations, risks can be identified early, routine tasks can be made easier, and individualized assistance can be provided. The use of a semantic system architecture enables the flexible integration of various devices and applications, improves quality of life, and supports safe, autonomous living in old age.

Das Bild zeigt das Logo von GAiST: Deinen weißen Schriftzug "GAiST" auf schwarzem Grund mit einem weißen Symbol von SmartLivingNext Projekt.

Project Description

The aging population is posing new challenges for the healthcare system and social infrastructure. Older adults want to live independently in their own homes for as long as possible, while at the same time safety, medical care, and support with daily living must be ensured. Standardized assistance solutions reach their limits here, as individual needs, living environments, and health conditions vary greatly.

The GAIST project addresses this challenge with a smart-home system that enables personalized support in daily life. Sensors, AI-powered data analysis, and adaptive assistance modules track residents’ individual routines and preferences. Based on this data, tailored recommendations and practical guidance are provided to identify risks early on, simplify routine tasks, and promote a safe, independent life. The use of a semantic system architecture allows for the flexible integration of various devices and services, resulting in a coherent, adaptive assistance system.

Key Focus Areas of the Project

  • Personalized Assistance: Providing individualized support in daily life based on users’ health status, preferences, and routines.
  • Adaptive smart home technology: Dynamic adaptation of assistance modules to changing needs and living situations.
  • Semantic System Architecture: Use of structured, machine-readable representations to integrate various sensors, devices, and applications for a coherent, safe living environment.

Everything at a Glance

  • Icon Kalender

    Duration
    February 1, 2024 – July 31, 2026 (Ongoing)

  • Icon Tag

    Research Area
    Sensors and Health

  • Icon Abzeichen Euro

    Funding
    As part of the "SmartLivingNEXT" technology program funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK), all partners are receiving 2.6 million euros in funding

 

Project members from the University of Siegen

Foto Kai Hahn

apl. Prof. Dr.-Ing. Kai Hahn

Adjunct Professor and Research Group Leader

Forschungsgruppe .MIGS

Medizinische Informatik und Graphbasierte Systeme

Profile picture of Christian Weber

Dr. Dipl.-Inform. Christian Weber

Academic Advisor and Research Group Leader

Christian Weber is a lecturer at the University of Siegen, where he heads the Medical Informatics and Graph-Based Systems (.MIGS) research group at the Faculty of Natural Sciences and Technology at the University of Siegen together with Prof. Kai Hahn.

MubarisNadeem

Dr.-Ing. Mubaris Nadeem

Research Associate

Dr. Mubaris Nadeem ist wissenschaftlicher Mitarbeiter und Postdoktorand in der Arbeitsgruppe für Medizinische Informatik und Graphbasierte Systeme (.MIGS) an der Universität Siegen.

Personal profile photo

Lisa Bender B.Sc.

Research Assistant with a Bachelor's Degree

Consortium Partners

  • SmartLivingNext, German Aerospace Center (DLR)
  • Hospital zum Heiligen Geist SbR HzHG (Consortium Leader)
  • Siegburg Senior Citizens’ Center, LLC (SZSU)
  • OFFIS – Institute for Computer Science e.V.
  • Materna Information & Communications SE