Abstract. The classic human-machine interfaces require mechanical or electronic elements which can be cumbersome or complex in their uses and implementations. As a result, interfaces of such kind can present a rigid communication with devices which we want to control, additionally they may not be a usable tool by people who have lost a body limb and who present different types of corporal disabilities.In this work is showed the development of a human-machine interface which can control a remote device by the characterization of natural human facial movements employing artificial vision and fuzzy logic.Due to the characteristics of the proposed interface, it permits that disabled, untrained, and even illiterate persons can use it easily.This implementation is able to establish a remote communication with any electronic device through the internet by the XMPP protocol, which gives it a dynamism of control over practically any geographical position in the world where internet connection exist, in this way, it is possible to integrate it into the internet of things.