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

Authors:
Jan Stelovsky
Affiliations:
University of Hawaii, Department of Information and Computer Sciences, Honolulu, Hawaii
Venue:
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
Year:
2007

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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.