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Daniel Roggen |
Dr.
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Wearable Computing Lab, Institut f. Elektronik, ETZ H 93, Gloriastrasse 35 |
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Zurich |
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CH-8092 |
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Swissland |
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This e-mail address is being protected from spambots. You need JavaScript enabled to view it.
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+41-446322993 |
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+41-446321210 |
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http://www.wearable.ethz.ch/
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Dr. Daniel Roggen is senior research fellow in the Wearable Computing Laboratory, ETH Zürich since 2005. His activities center on context awareness - especially human activity and gesture recognition - in wearable and pervasive computing, with emphasis on novel adaptive and learning algorithms, and multi-sensor correlation and fusion, targeting miniature embedded platforms.
Keeping examples of impressive adaptation capabilities found in some bio-inspired systems, he has a particular interest in methods that improve the real-world robustness of context-aware systems.
He co-initiated and coordinates the EU FP7 FET-Open project OPPORTUNITY, where novel methods for context-awareness in opportunistic sensors configurations are investigated. He is active in the EU FP7 FET-Proactive project SOCIONICAL, where his interest is machine understanding of crowds by means of sensor networks and complexity science models. Within SENSEI, his interest is the frameworks enabling the large-scale deployment and cooperation of wireless sensor actuator networks.
Prior to that, he carried out PhD at the Laboratory of Intelligent Systems of EPFL, where he graduated in 2005. During his PhD he developed bio-inspired electronic circuits with fault-tolerance, learning, and developmental capabilities that were applied to the control of autonomous mobile robots and to signal processing. This work was carried out in context of the EU FP5 FET project POEtic.
[1]Marc Bächlin, Meir Plotnik, Daniel Roggen, Inbal Maidan, Jeffrey M Hausdorff, Nir Giladi and Gerhard Tröster, Wearable assistant for Parkinson's disease patients with the freezing of gait symptom, (2010), in: IEEE Transactions on Information Technology in Biomedicine, 14:2(436
- 446).
[2]T. Stiefmeier, D. Roggen, G. Ogris, P. Lukowicz, and G. Tröster. Wearable Activity Tracking in Car Manufacturing. IEEE Pervasive Computing Magazine, 7(2):42-50, April-June 2008.
[3]D. Roggen, D. Federici, and D. Floreano. Evolutionary Morphogenesis for Multi-Cellular Systems. Genetic Programming and Evolvable Machines, 8(1):61-96, 2007. |
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