Data Fusion for Robust Indoor Localisation in Digital Health

Michal Kozlowski, Dallan B Byrne, Raul Santos-Rodriguez, Robert J Piechocki

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

10 Citations (Scopus)
372 Downloads (Pure)


This paper offers an approach for the combining of signals from multiple sensors observing everyday activities in a digital health care monitoring context. The IoT environment presents a number of advantages for indoor localisation. The amalgamation of several passive sensors can be used to provide an accurate location. This location often bears unique signatures of activity especially when considering residential environments. However, it is only the basic human instincts, such as periodicity and routine, that make this possible. The fact that behaviours and actions recur naturally is an important assumption in this paper. The study proposes a method, whereby semantic information about the location is learned from an additional source. This method deals with the question of robust indoor localisation prediction by extracting additional activity information available from a wrist worn acceleration sensor. A number of different fusion models are considered, before choosing and validating the model which provides highest improvement in accuracy and robustness over the baseline example. The performance of the methods is examined on different unique datasets, which closely resemble residential living scenarios.
Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW 2018)
Subtitle of host publicationProceedings of a meeting held 15-18 April 2018, Barcelona, Spain
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781538611548
ISBN (Print)9781538611555
Publication statusPublished - Jun 2018
Event2018 IEEE Wireless Communications and Networking Conference Workshops - Barcelona, Spain
Duration: 15 Apr 2018 → …


Conference2018 IEEE Wireless Communications and Networking Conference Workshops
Abbreviated titleWCNCW 2018
Period15/04/18 → …

Structured keywords

  • Digital Health


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