Ble Based Indoor Positioning System and Minimal Zone Searching Algorithm (MZS) Applied to Visitor Trajectories within a Museum

Abstract

Museums are perfect experimentation grounds for indoor positioning technologies. Indeed, museum managers are always pleased to hold these kinds of events where it offers the opportunity to the public to be a part of such experimentation and allowing us at the same time to popularize our research with them. In this paper, we describe an experiment that held within the museum of natural history of La Rochelle with a class of high school volunteers. We will explain our systems that has been built to work in this specific case, and among other things formalize our algorithm for indoor localization that has not had an equivalent in the state of the art. The minimal zone searching algorithm (MZS) can compute in real time the position of a visitor, shaped as a zone with an average surface of 3 m2 when resources are limited and when the placement of nodes must respect the constraints imposed by the room’s layout. This method offered good results with data collected during the experimentation, such as a meaningful representation of the position of a visitor and most importantly a stable execution during the whole experience even when the subject was in tight spaces.

Empowering Accessibility: BLE Beacon-Based IoT Localization

“…The determination of object position holds great potential for providing additional or alternative services while ensuring freedom of movement, enhancing overall security, and more. The significance of precise indoor localization is on the rise given the growing prevalence of AI (Artificial Intelligence) reality, healthcare and personal monitoring, inventory management, and various applications reliant on accurate indoor positioning [3]. However, there is currently no commonly accepted standard that facilities the implementation of the localization process depending on the type of system and the users' expectations [4].…”