Ulf Grobekathofert

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We present a novel stochastic recognition model based on Kernel Density Estimation (KDE) that uses a minimal set of features derived from ultrasound ranging sensors (USR) to detect presence at the desk area. In our approach, USR sensors are mounted at desk screens to provide proximity estimations of objects and users in front of them. Based on continuous(More)
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