Frank Krüger

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BACKGROUND Computational state space models (CSSMs) enable the knowledge-based construction of Bayesian filters for recognizing intentions and reconstructing activities of human protagonists in application domains such as smart environments, assisted living, or security. Computational, i. e., algorithmic, representations allow the construction of(More)
A consistent user experience in combination with proactive assistance may improve the user performance while interacting with heterogeneous data sources as e.g., occurring in business decision making. We describe our approach which is based on inferring the user intentions from sensory inputs, providing a situation aware information assistance, and(More)
In this paper we describe an implicit user interface for smart environment control: We make our system guess how to assist the user(s) proactively. Our controller is based on two formal descriptions: One that describes user activities, and another that specifies the devices in the environment. Putting both together, we can synthesize a probabilistic model,(More)
Modern buildings are often equipped with universal bus systems. The purpose of these bus systems is to control the functions of houses such as lighting, climate control, and heating. In this paper we present a case study that shows how privacy issues evolve out of an untypical utilization of those control systems. As a controversial example, we show that we(More)
Context awareness plays an essential role in systems dealing with activity recognition. The context information present to the system, and the way in which it is modelled, shape the performance of the system during activity inference. In this paper we present a novel approach for modelling human behaviour based on preconditions and effects and employing it(More)