Understanding the Quality of Calibrations for Indoor Localisation

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

8 Citations (Scopus)
294 Downloads (Pure)

Abstract

The efficient and effective deployment of Internet of Things (IoT) systems in real world scenarios remains a challenge, particularly in applications such as indoor localisation. Various methods have been proposed recently to calibrate localisation systems, ranging from precise but time consuming processes to those involving little explicit calibration based on a crowdsourced collection of data over time. However it is not clear how to estimate and compare the quality of a specific instance of a calibration. In this paper we present a simple yet effective method of calibrating a Smart Home in a Box (SHiB) together with a framework to combine calibrations while assessing their quality. Our empirical results demonstrate that our calibration method can be performed by untrained users in a short period of time yet is capable of up to 92% accuracy in room level localisation on free living experimental data.
Original languageEnglish
Title of host publication2018 IEEE 4th World Forum on Internet of Things (WF-IoT 2018)
Subtitle of host publicationProceedings of a meeting held 5-8 February 2018, Singapore
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages676-681
Number of pages6
ISBN (Electronic)9781467399449
ISBN (Print)9781467399456
DOIs
Publication statusPublished - Jun 2018

Structured keywords

  • Digital Health

Keywords

  • Digital Health

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