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A freely configurable, multi-modal sensor system for affective computing

: Mader, S.; Peter, C.; Göcke, R.; Schultz, R.; Voskamp, J.; Urban, B.

Andre, E.:
Affective dialogue systems. Tutorial and research workshop, ADS 2004 : Kloster Irsee, Germany, June 14 - 16, 2004. Proceedings
Berlin: Springer, 2004 (Lecture Notes in Artificial Intelligence 3068)
ISBN: 3-540-22143-3
ISSN: 0302-9743
Tutorial and Research Workshop on Affective Dialogue Systems (ADS) <2004, Irsee>
Conference Paper
Fraunhofer IGD ()
affective computing; perceptive computing; Sensor Network; event system

Affective computing systems consist of a varying number of components, such as sensors, data bases, and processing devices. So far, each system is set-up specifically and its architecture and configuration is as unique as its targeted purpose. With the increasing interest in affective computing, a generally applicable and easily realizable approach is desired to ease and speed up the installation process of such systems. In this paper, a Java based framework is presented which uses an adaptor-oriented approach in order to address this problem from a data perspective. An example is given for the application of this proposed framework within an affective computing system.