Alle Publikationen
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2018
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(2018) : A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/8385431/
Abstract: The academic success of individual students differs widely and it depends on various factors, ranging from financial to social and to health aspects. In this article, we propose a concept for a novel productivity tracking system that provides the basis for a self-assessment of academic behaviour and that can be used by students to support their academic success. The development of such a system requires interdisciplinary efforts, most of them located in the field of collaborative interactive learning (CIL) that is grounded on a socio-technical system perspective. The system is interactive since it is based on bidirectional communication, collaborative in the sense that it uses students, other students, and external sources such as the Internet for generation of knowledge, and learning in the sense that it continuously and autonomously acquires knowledge. It is further self-organised as it decides about interaction partners and self-adaptive in terms of modifying its behaviour according to changing conditions.
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(2018) : Real-time Intelligent Tele-Care Assistance Systems In: Institute of Electrical and Electronics Engineers: Broadband Coverage in Germany; 12th ITG-Symposium: Berlin, Germany: VDE Verlag GmbH, S. 1-4. Online verfügbar unter https://ieeexplore.ieee.org/document/8385230/
Abstract: The combination and fusion of technologies and procedures from "Ambient Assisted Living" (AAL), "Human-Technology Interaction" (MTI) and "eHealth" to target a real-time capable sensor data analysis-framework is the re-search focus of the "fast care"-project. This project is a part of the combined "fast" consortium at the Technical University of Dresden, which consists of more than 25 project parts working on the Next Generation 5G haptic internet. "Fast care" is focused on haptic care in the home environment. Measurements and observations by an adhoc-networked, real-time sensor infrastructure are performed with the aim of creating an integrated situation picture for direct interaction with an actor infrastructure or for the generation of a future forecast - with a latency period of less than 10 ms.
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(2018) : A Rule-Based Approach for Self-Optimisation in Autonomic EHealth Systems In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-4. Online verfügbar unter https://ieeexplore.ieee.org/document/8385432/
Abstract: Advances in machine learning techniques in recent years were of great benefit for the detection of diseases/medical conditions in eHealth systems, but only to a limited extend. In fact, while for the detection of some diseases the data mining techniques were performing very well, they still got outperformed by medical experts in about half of the tests done. In this paper, we propose a hybrid approach, which will use a rule-based system on top of the machine learning techniques in order to optimise the results of conflict handling. The goal is to insert the knowledge from medical experts in order to optimise the results given by the classification techniques. Possible positive and negative effects will be discussed.
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(2018) : Towards Proactive Health-enabling Living Environments: Simulation-based Study and Research Challenges In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/8385433/
Abstract: Nowadays, information and communication technology (ICT) has become a key driver for future health-enabling and ambient assisted living technologies. These future health-enabling living environments proactively anticipate the inhabitants' needs and adapt their behaviour accordingly. They further continuously monitor the behaviour of the inhabitants and may call in support in suspicious cases. In this article, we present an architectural blueprint for such a proactive living environment and highlight the corresponding challenges for research in the field. Afterwards, we present a simulation as experimental platform for learning the daily routine of inhabitants of a flat-sharing community of senior citizens. The experimental evaluation highlights that probably unusual behaviour of persons can be detected using a probabilistic approach, which may serve as an indicator for external support.
2016
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(2016) : May I be your Personal Coach? Bringing Together Person Tracking and Visual Re-identification on a Mobile Robot In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/7559109/
Abstract: Mobile robots following and guiding stroke patients during their rehabilitation program are in the focus of our research in rehabilitation robotics. To be able to act autonomously, it is crucial for the robot to extract long and precise movement trajectories of the patients. But already keeping track on one specific person in a crowded dynamic environment is inherently hard, since multi-sensor tracking as well as appearance-based re-identification are challenging tasks in realworld environments. Therefore, we aim for developing a coupled person tracking system that combines user tracking by spatial proximity with appearance-based user recognition. We analyzed all subcomponents of such a system and identified four essential parts, that significantly influence the overall performance. We show, that it is essential, to (1) accurately detect all persons in scene, (2) track people as long as no ambiguities occur, (3) visually re-identify the user otherwise, and (4) reduce the search space for re-identification to just relevant hypotheses using spatial proximity as criterion. In our experiments, we show, that by addressing all these aspects, our system significantly outperforms each approach, that excludes just one of these important parts.
2013
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(2013) : Fantasy and Reality ?? Electric Motors within the Human Body In: VDE: Innovative Small Drives and Micro-Motor Systems; 9. GMM/ETG Symposium: Nuremberg, Germany: VDE, S. 1-5. Online verfügbar unter https://ieeexplore.ieee.org/document/6624102/
Abstract: What arose from the realm of fantasy just a few decades ago is reality today thanks to available micro drives. Advances in the miniaturization of technical systems have made this possible. Today, micro motors are already routinely used by physicians for carrying out demanding examinations and treatments in the human body. The following article discusses the state of the art exemplified by two motorized cardiac catheters and a swallowable capsule which performs radiological examinations for early detection of colorectal cancer. The article is rounded off by considering the pros and cons of autonomous robots in the human body.
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