Highly configurable software architecture framework for acquisition and visualization of biometrie data

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Abstract

The research in augmented cognition and its practical applications rely heavily on the acquisition and evaluation of biometrics data. We propose software architecture that offers unified approach to the integration of emerging hardware and evaluation technologies. In this paper we focus on the software layers that combine the data events and offer visual representations of the results. In particular, we show that the common evaluation of the collected data as well as the commonly used graphical depictions of the results can be achieved using a fully modular and extendible software architecture. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Stelovsky, J. (2007). Highly configurable software architecture framework for acquisition and visualization of biometrie data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4565 LNAI, pp. 176–185). Springer Verlag. https://doi.org/10.1007/978-3-540-73216-7_20

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