Projects
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Abacus: Adaptive Ambient Backscatter Communications for Ultra-low power Systems
We utilize smart, adaptable antennas and optimize the device, modulator, utilized waveform and receiver algorithms to significantly improve system performance of ambient backscatter systems.
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RadioSense: Wireless big data augmented smart industry
This project provides device-free localization and activity recognition solutions for safety guarantee and control in smart industrial environments.
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Hide My Gaze!
Hide My Gaze! enables closed-eye gaze passwords in smart glasses, based on closed-eye movements of users sensed with cameras and EOG sensors built into the glasses frames.
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Dataset publicly available for research and teaching.
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/Proximity-based pairing for M2M
We establish secure device pairing for devices in proximity without the need for a trusted third party
(EIT HII Active 2017) -
Automatic on-body device pairing
We generate a unique secure secret from correlated sensor-readings of on-body devices
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(AoF/DAAD 2017-2018) -
Emotion recognition from RF
Exploiting characteristic movement patterns and bio-information (for instance, heart or respiration rate), we are able to identify behavioural change
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Convenient implicit authentication from egocentric video diaries
By extracting characteristic situations from timelines generated by an egocentric camera, we propose novel usable authentication schemes.
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Spontaneous Secure Device Interaction
Based on fingerprints from ambient audio of devices in proximty we generate secure cryptographic keys with the help of fuzzy cryptography.
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(DAAD, 2010-2011) -
Low-energy distributed computation
We exploit the convolution of random distributions for the calculation of mathematical functions from superimpositions of simultaneously transmitted values.
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(DAAD, 2011-2012) -
Device-free Activity Recognition
Recognition of activities from RF-signals. We leverage amplitude-based features for the distinction of situations, activities and gestures.
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(DAAD, 2011-2012; 2013) -
Distr. adaptive beamforming
Analysis of a class of iterative feedback-based distributed beamforming approaches with low computational complexity. Asymptotic bounds and asymptotically optimal approach.
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(DFG, 2009-2011) -
Context prediction
We proactively anticipate the evolution of context time series, investigate architectures for context prediction and consider novel prediction algorithms.
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(DFG, 2008-2010)