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Wissenschaftlicher Mitarbeiter Institut für Pervasive Computing Office Hour: Mo 10:00 - 11:00 Phone: +43-732-2468-8518 Fax: +43-732-2468-8426 E-Mail: gerold döt hoelzl ät pervasive döt jku döt at |
| Lectures in 2012SS | ||
| 340.001 | UE | Pervasive Computing Systems Development |
| Projects |
| OPPORTUNITY: FP7-ICT-2007-C, FET open Goals: The project aims at developing mobile systems to recognize human activity with dynamically varying sensor setups. We refer to such systems as opportunistic, since they take advantage of sensing modalities that just happen to be available, rather than forcing to deploy specific, application dependent sensor systems. Partners: ETH Zurich, UoPassau, IDIAP Status: started February 1st, 2009 |
| PowerIT: FFG Call: FIT-IT Embedded Systems & Semiconductors, 2nd Call Goals: This project will investigate on potentials to reduce energy inefficiency by the development of methods and solutions based on implicit user interaction. Methodologically, it will attempt to exploit opportunistic sensor configurations to establish context information, in order to avoid standby losses of electronic equipment, machines and appliances. |
| Betreute Bakk-/Masterarbeiten |
| TV-Content-Recognition based on Energy Consumption: Problem Definition and ApproachIn this work the effect of different content displayed on a TV-Screen on its power consumption has to be examined. This is an important topic as energy providers install more and more „smart meters“ in households that can be read out during runtime to enable the vision of a smart grid. In this theses, it should be shown if this information can be used to dynamically extract the content that is watched on TV in realtime based on the energy consumption. |
| 2012 |
Goal Oriented Opportunistic Recognition of High-Level Composed Activities using Dynamically Configured Hidden Markov Models The 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012), 2012.
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Dynamic Adaptation of Opportunistic Sensor Configurations for Continuous and Accurate Activity Recognition Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2012), July 22-27, Nice, France, ISBN: 978-1-61208-219-6, 2012.
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| 2011 |
The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition International Journal of Sensors, Wireless Communications and Control, Special Issue on Autonomic and Opportunistic Communications, Bentham Science Publishers, ISSN: 2210-3279, 2011.
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Activity Recognition in Opportunistic Sensor Environments Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), Procedia Computer Science, Editors: Elisabeth Giacobino, Rolf Pfeifer, Elsevier, Vol. 7, pp. 173-174, 2011.
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Real-Time Transfer and Evaluation of Activity Recognition Capabilities in an Opportunistic System Third International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2011), September 25-30, Rome, Italy, ISBN: 978-1-61208-156-4, pp. 73-78, 2011.
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A Framework for Opportunistic Context and Activity Recognition 9th International Conference on Pervasive Computing (Pervasive2011), June 12-15, San Francisco, CA, USA, 2011.
Conferences: 9th International Conference on Pervasive Computing (Pervasive2011)
Projects: OPPORTUNITY Master Thesis: Distributed Activity Recognition Videos: View A Framework for Opportunistic Context and Activity Recognition stream |
Goal Oriented Opportunistic Sensing 9th International Conference on Pervasive Computing (Pervasive2011), Doctoral Consortium, June 12-15, San Francisco, CA, USA, 2011.
Projects: OPPORTUNITY
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Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems Fourth Conference on Context Awareness for Proactive Systems: CAPS2011, 15-16 May 2011, Budapest, Hungary, 2011.
Conferences: Fourth Conference on Context Awareness for Proactive Systems: CAPS2011
Projects: OPPORTUNITY Master Thesis: Distributed Activity Recognition |
Activity recognition in opportunistic sensor environments The European Future Technologies Conference and Exhibition (FET11), 4-6 May, Budapest, Hungary, pp. 2, 2011.
Projects: OPPORTUNITY
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| 2010 |
Robust activity recognition for assistive technologies: Benchmarking ML techniques Workshop on Machine Learning for Assistive Technologies at the Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS-2010), 2010.
Projects: OPPORTUNITY
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