The purpose of this study is to develop an information fusion system for the application of human-machine communication. The information fusion system bundles and controls sensing units distributed in a space. One sensing unit consists of several sensors, whose data are given to a computer and are transformed into significant information. This information is fed to other sensing units, to be fused with other significant information. All the information are integrated in a main computer to recognize and identify a particular person. The main computer is responsible for managing all the information in a distributed fusion system. For a large and complex system, it may consist of several communities of sensors that are controlled by several main computers to manage the different fusions of the systems. This paper introduces a methodology on how to group a several functions from different sensors that share a same environment for the purpose of recognizing a particular person.