LivingCare An autonomously learning automation system for sustainable and age-appropriate living

Motivation

The profile of modern home automation systems will change fundamentally. Classical use cases aiming at the individual apartment such as comfort oriented controls and increase of energy efficiency have to be complemented by requirements from the energy providers and, in particular, home care and health care. The potential of innovative home automation as a technical instrument for supporting family-based and institutional care processes in the home environment is proven today: home automation systems can be a significant instrument for simplifying life for older adults living alone. Home automation systems as a technology for addressing the challenges of demographic change also offer the potential of providing German vendors with a leading position internationally in a growing market of strategic importance.

Goal

The project „LivingCare“ aims at developing and evaluating a user centered, autonomously learning home automation system covering use cases from the domains of assisted living/prevention, comfort/safety, and energy efficiency, which adapts itself to preferences, needs and behavior patterns of the user in a life-accompanying manner.

Technologies

The project is driving innovations in three central areas and uses them, for the first time in this combination, in the field of home automation:

  • sensing (wireless mobility sensor suitable for retro-fitting in existing homes),
  • cognition (data fusion, modeling, autonomous learning)
  • and – on this foundation – situation-appropriate interventions.
Persons

External Leader

Christian Schoeller, Contronics

Scientific Director

Publications
LivingCare - An autonomously learning, human centered home automation system: Collection and preliminary analysis of a large dataset of real living situations

Eckert, RalfMüller, SebastianGlende, SebastianGerka, AlexanderHein, AndreasWelge, Ralph; Zukunft Lebensräume Kongress 2016 (ZL 2016); 2016

LivingCare--An Autonomously Learning, Human Centered Home Automation System: Collection and Preliminary Analysis of a Large Dataset of Real Living Situations

Eckert, Ralf and Müller, Sebastian and Glende, Sebastian and Gerka, Alexander and Hein, Andreas and Welge, Ralph; Ambient Assisted Living: 9. AAL-Kongress, Frankfurt/M, Germany, April 20 - 21, 2016; 2016

Towards a Minimized Unsupervised Technical Assessment of Physical Performance in Domestic Environments

Hellmers, Sandra and Steen, Enno-Edzard and Dasenbrock, Lena and Heinks, Andrea and Bauer, Jürgen M. and Fudickar, Sebastian and Hein, Andreas; Proceedings of the 11th EAI Conference on Pervasive Computing Technologies for Healthcare; 2017

Partners
contronics GmbH Automationssysteme
www.contronics.de
eQ-3 AG
www.eq-3.de
YOUSE GmbH
www.youse.de
Leuphana Universität Lüneburg
www.leuphana.de
Deutsches Rotes Kreuz Landesverband Oldenburg e.V.
www.lv-oldenburg.drk.de

Duration

Start: 28.02.2015
End: 27.02.2018

Website of project

Source of funding

BMBF

FKZ: 16SV7206