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The ability to localise a smart device is very useful to visually orcognitively impaired people. Localisation-capable technologies are becomingmore readily available as off-the-shelf components. In this paper, we highlightthe need for such a service in the field of health and autonomy, especially fordisabled people. We introduce a model for Semantic Position Description (SPD)(e.g. "The pill organiser in on the kitchen table") as well as variousalgorithms that transform raw distance estimations to SPD related to proximity,alignment and room identification. Two of these algorithms are evaluated usingthe LocURa4IoT testbed. The results are compared to the output of apre-experiment involving ten human participants in the Maison Intelligente deBlagnac. The two studies indicate that both approaches converge up to 90% ofthe time. .

IDEALI: intuitively localising connected devices in order to support autonomy