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Amft, Oliver, Dr.
News
March 2009: The food recognition demonstration will be presented as a permanent exhibit at the renowned Museum Alimentarium, Vevey, Switzerland.
Feb 2009: Received European Wireless Sensor Networks (EWSN) Ph.D. award for my thesis on Automatic dietary monitoring using on-body sensors from the EWSN/Conet consortium.
Jan 2009: The paper Bite weight estimation using acoustic recognition of chewing has been accepted by IEEE Transactions on Biomedical Engineering.
Jan 2009: I am appointed as an Assistant Professor at TU Eindhoven, The Netherlands.
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Phone: +41 44 632 59 36 |
- Office and lab location: D-ITET Location Info
- TU Einhoven: Faculty member page
- More information (events, projects): http://www.ee.ethz.ch/~oamft
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 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 four years with ABB Inc., leading product development of embedded communication systems as Senior Development Engineer and R&D Project Manager. Since 2004, he is continuing to support early development stages at ABB as technology consultant.
Oliver's research focuses on pervasive healthcare and intelligent personal assistant. His interests include ubiquitous sensing, pattern recognition, and embedded systems for activity, and context awareness. Oliver's PhD thesis introduced concepts and solutions for Automatic Dietary Monitoring. Further projects and information is available at http://www.ee.ethz.ch/~oamft.
Research
My work is focused on pervasive healthcare and smart personal assistant systems. I believe that the next-generation healthcare and wellness solutions can be build, by combining the benefits of electronic miniaturisation (embedded systems and sensors) and artificial intelligence (pattern recognition). As a result, such smart personal assistants intend to prevent diseases and maintain wellbeing using context-aware technologies. Moreover, smart assistants support intervention and rehabilitation processes through activity, behaviour, and lifestyle coaching.
Specifically, my work is addressing the following topics (see my projects for more details):
- Automatic Dietary Monitoring
- Personal Rehabilitation Assistants, see projects
- Context recognition and probabilistic modelling of activity, see projects
- Wearable system architectures and computers - QBIC, further projects
Publications
A complete list of publications can be found here: http://people.ee.ethz.ch/~oamft/publications
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