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

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.