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Phone: +41 44 632 29 93 |
Daniel Roggen received his M.S. in microengineering in 2000 from the EPFL (Swiss Federal Institute of Technology) in Lausanne, Switzerland. He then worked for the company VisioWave (now belonging to General Electrics) in the optimization of wavelet-based video compression algorithms for video surveillance on Intel Itanium and IA-32 architectures, as well as various other video processing algorithms.
He carried out his PhD at the Laboratory of Intelligent Systems of EPFL, from which he received his PhD degree in 2005. In 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.
Since 2005 he is Senior Research Fellow in the Wearable Computing Lab at ETH Zürich. His activities include context recognition algorithms, embedded wearable systems, sensor fusion, and learning and adaptivity in wearable systems.
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SynScopeV - Signal/Video Visualization and Alignment Tool |
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SynScope - Signal Visualization and Alignment Tool |
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DScope - Fast and Flexible Digital Oscilloscope |
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