This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Smart environments are subject to intensive academic and industrial research. Many of these research projects deal with challenges such as heterogeneity, personalization and conte...
In this paper, we present a model-driven, domaincentric tool allowing the specification of service-oriented ions through abstract services composition. Executable applications, ma...
The aging of our society presents a range of challenges to housing providers. With the advanced mobile technologies we are now able to develop quality mobile services to help seni...
— Enriched with more and more intelligent devices modern homes rapidly transform into smart environments. Their growing capabilities enable the implementation of a new generation...
Grzegorz Lehmann, Andreas Rieger, Marco Blumendorf...