This thesis is part of a collaboration between the Politecnico di Torino and the Melbourne Institute of Technology RMIT. The developed project was carried out at the Bundoora East campus in collaboration with THALES Australia and Northrop Grumman Corporation. This project aims to analyse the potential integration of Facial Expression monitoring within a sensor network to evaluate real time the cognitive state of ATM and one-to-many UAS operators. ATM operators perform a safety-critical work in which it is essential that the situation awareness is not lacking and the workload is not excessive. Most accidents in the aviation field are due to human error so monitoring the cognitive state of the operators would lead to increase the efficiency of air traffic and the safety of operations.