Gernot Ruscher

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While developing distributed systems, like for example a smart environment, a powerful middleware is required - not only for the communication between different devices, but also to support the developers. In this paper, we discuss our system, which has been developed with a special focus on the needs in research and teaching in ubiquitous computing. It is(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)
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)
We describe first experiments for controlling smart environments using a brain-computer interface. The graphical user interface is automatically synthesised from device models that specify effects of device functions on the environment. Thus, the number of interactions can be reduced, and a novel way of human machine interaction is introduced: Controlling(More)
User localization information is an important data source for ubiquitous assistance in smart environments. This paper proposes a device-free passive user localization approach based on room-equipped passive RFID instead of battery powered hardware. Based on this approach recent work tried to formulate physical model based localization algorithms. These(More)
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