LivingCare – A autonomously learning, human centered home automation system: Collecting and preliminary analysis of a large Dataset of real living situations

Konferenz: Zukunft Lebensräume - Kongress
20.04.2016 - 21.04.2016 in Frankfurt/Main, Deutschland

Tagungsband: Zukunft Lebensräume

Seiten: 9Sprache: EnglischTyp: PDF

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Eckert, Ralf (OFFIS-Institute for Information Technology, Oldenburg, Germany)
Müller, Sebastian; Welge, Ralph (Leuphana Universität Lüneburg, Germany)
Glende, Sebastian (YOUSE GmbH, Germany)
Hein, Andreas (Carl von Ossietzky University Oldenburg, Germany)

Within the scope of LivingCare, a BMBF funded research project, a real senior residence was equipped with a large amount of home automation sensors. More then sixty sensors and actors were installed in this apartment. This automation system is working totally passive in the background. It doesn’t perform any actions. All actions performed by humans like switching light on or off, setting the temperature and the usage of electric devices like TVs will only be recorded as data and not performed by the system. Such data is collected over a period of 18 months. Thereby one of the largest mobility and characteristics datasets based on home automation sensors will be acquired. This data will be the foundation for developing autonomously learning algorithm. During the second project phase these algorithms should start to control functions of the home automation system. The projects objective is to develop an autonomously learning home automation system that automatically adapts to the resident’s behavior. The system will be able to grow with the users needs. With all the possible data collected it will be able to support daily actions, recognize behavior changes over timer and will be able to call help in emergency situations.