Towards context-free semantic localisation
Gabriele Marini, Jorge Gonçalves, Eduardo Velloso, Raja Jurdak, Vassilis Kostakos
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19 | ACM Press | Published : 2019
We propose a context-free semantic localisation approach to visualise and analyse indoor movements. We focus on settings where indoor location or rooms have strongly associated semantics, such as hospitals. We describe an approach that can work with different localisation systems, with little knowledge of the physical space properties, and with minimal bootstrapping required. We propose a movement representation that consists of time-encoded strings, and discuss how our approach can be used for analysing and visualising longitudinal indoor localisation data.
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Awarded by Australian Research Council
Gabriele Marini is supported by a PhD scholarship provided by Data61-CSIRO. Eduardo Velloso is the recipient of an Australian Research Council Discovery Early Career Award (grant DE180100315) funded by the Australian Government. This work is partially funded by a Samsung Global Research Outreach grant, and the ARC Discovery Project DP190102627.