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Projects

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    Automatic on-body device pairing

    We generate a unique secure secret from correlated sensor-readings of on-body devices

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    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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    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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    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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    Distributed adaptive beamforming

    We analyse a class of iterative feedback-based distributed beamforming approaches with low computational complexity. Sharp asymptotic bounds and an asymptotically optimal approach.

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    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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Otakaari 5 A, 00076 Espoo; +358 (0)50 4666941; ambience-elec@aalto.fi