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Oliver Amft |
Prof. assi. Dr.
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ETH Zurich, Wearable Computing Lab, c/o Electronics Laboratory, Gloriastrasse 35 |
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Zurich |
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CH-8092 |
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Switzerland |
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This e-mail address is being protected from spambots. You need JavaScript enabled to view it.
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+41-446325936 |
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+41-446321210 |
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http://www.wearable.ethz.ch/
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Prof. Assi. Dr. Oliver Amft is an Assistant Professor at TU Eindhoven (The Netherlands) and a senior research advisor at the Wearable Computing Lab., ETH Zurich (Switzerland). He leads the Activity and Context Technologies laboratory (ACTLab) at the Signal Processing Systems section of TU Eindhoven.
Oliver received the Dipl.-Ing. (M.Sc.) from Chemnitz Technical University, (Germany) in 1999 and the Dr. sc. ETH (Ph.D.) from ETH Zurich in 2008. Both degrees are in Electrical Engineering and Information Technology. Between 2000 and 2004 Oliver was with ABB Inc. (Switzerland) leading product development of embedded multi-media communication systems as R&D Project Manager and Senior Development Engineer.
Oliver's research focuses on fundamental principles and algorithms for activity recognition and behavior inference with applications in personal healthcare and energy efficiency. His interests include Artificial Intelligence and massively distributed autonomous systems. Oliver's Ph.D. thesis and further research addresses sensing and recognition methods for dietary monitoring. He initiated and is currently leading the European-funded project GreenerBuildings, which aims at energy efficiency adaptive public buildings by investigating occupant activity recognition and building-distributed context inference concepts. Moreover, he is the principal investigator in national research efforts on activity recognition and physiological sensor data fusion to support epileptic patients and derive advanced diagnostic tools for monitoring neonatal infants.
[1]Oliver Amft. Adaptive activity spotting based on event rates. In SUTC 2010: Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp. in press, IEEE, 2010. Invited paper
[2]Oliver Amft, Martin Kusserow, and Gerhard Tröster. Bite weight prediction from acoustic recognition of chewing. IEEE Trans Biomed Eng, 56(6):1663–1672, June 2009.
[3]Oliver Amft and Gerhard Tröster. On-body sensing solutions for automatic dietary monitoring. IEEE Perv Comput, 8(2):62–70, April-June 2009. |
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