Project

KI@Home

Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status assessed at the beginning of the project. During runtime, the sensors collect data about e.g. movement patterns and the volunteers update their health status regularly, so that machine learning algorithms can be trained to predict risks according to behaviour.

The focus lies on the following kinds of risks:

  • exacerbation of an existing mental affliction like dementia or depression
  • impaired mobility or danger of falls
  • downward trends in general health

Partners

  • Better@Home Service GmbH
  • Institut für Sozialforschung und Sozialwirtschaft e.V.
  • AOK NORDOST- die Gesundheitskasse
  • Charite - Universitatsmedizin Berlin
  • Die Netz-Werker AG
  • Pflegewerk Managementgesellschaft mbH

Sponsors

Federal Ministry of Economics and Energy (BMWi)

01MT20006G

Federal Ministry of Economics and Energy (BMWi)

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Contact Person
Dr.-Ing. Jan Alexandersson
Xenia Klinge, M.A.

Keyfacts

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz