Application of intent inference for surveillance and conformance monitoring to aid human cognition

Intent inference involves analyzing the actions and activities of a target of interest to deduce its purpose. In an environment cluttered with many targets, loaded with information, and under stress, the human may not be able to perform well. Hence a cognitive aid that could derive possible intent inference and monitor the target may help augment human cognition and assist critical human decision making. This paper reports research on two applications: determining the likelihood of weapon delivery by an attack aircraft under military surveillance and conformance monitoring in air traffic control systems. The proposed solution is based on flight profile analysis. Simulation process comprises Interacting Multiple Model-based state estimation and Mamdani-type fuzzy inference to deduce possibilities of weapon delivery and of nonconforming aircraft behavior respectively. Results verify that the method is feasible and provides timely inference that will aid human cognition and hence assist decision making.