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Novel approach for detection and tracking of explosive carrying mobile humans with odor-sensor based multisensor networks

In this study, a distributed system which could be used to detect and track an explosive carrying mobile human is designed. As a novel approach to existing odor detection and tracking methods, a technique which combines odor and sound detection is proposed for increased accuracy. To this aim, a MEMS sensor network including a pressure sensor, an accelerometer, a microphone, an odor sensor and electronic unit is proposed. For the electronic unit of this system a sensor network and least square estimation based sensor fusion algorithm is developed and simulated. The results are evaluated with respect to various paths of two humans, one carrying the explosive. The results show that odor sensing alone is not sufficient for the accurate determination of the odor track, and that by adding other conventional tracking methods, accuracy could be increased.