Publikation

Combining Machine Learning With Inductive Logic Learning To Detect Deviations From Daily Routines In Ambient Intelligent Environments

Benjamin Duppe, Michael Meiser, Alexander Anisimov, André Antakli, Muhammad Muaz, Ingo Zinnikus

In: WI-IAT21. IEEE/WIC/ACM International Conference on Web Intelligence (WI-2021) December 14-17 Melbourne Australia ACM Press 2021.

Abstrakt

The availability of sensor technology in home and building automa-tion offers new opportunities for AI applications. Machine learning(ML) methods can recognize device patterns and profiles based onsensor data and make energy-relevant predictions. At a higher level,the detected patterns can in turn be used to learn activity patterns.In this paper, we present a hybrid approach to augment ML-basedoutputs with inductive logic-based learning techniques. We presentevaluation results and illustrate an application to agent-supportedcritical situation detection in the assisted living domain.

Projekte

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence