Accurate indoor positioning utilizing interpersonal relationship

Hiroki Saito, Yuya Ueda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile applications such as pedestrian navigation, geo-fencing, geo-social service, etc. require accurate location information of mobile devices. The localization technology is important in both technical and commercial aspects. In this paper, we propose a novel indoor localization method that provides mobile phone users in a pedestrian crowd with their own position information. We assume that some of users can reveal interpersonal information such as loving couple, family, friend or acquaintance, etc, and they can enter its information to the system. The system estimates distance of mobile devices based on person-to-person proximity information obtained by pre-defined interpersonal relationship, and estimate position of users accurately by combined with physical signal measurement and interpersonal distance. Through our simulation experiments, we show that our system can estimate users position accurately.

Original languageEnglish
Title of host publicationProceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
EditorsLuis Rodrigues, Ajith P. Abraham, Jorg Roth, Piet Kommers
PublisherIADIS
Pages283-286
Number of pages4
ISBN (Electronic)9789898533548
Publication statusPublished - 1 Jan 2016
Event2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016 - Madeira, Portugal
Duration: 1 Jul 20164 Jul 2016

Publication series

NameProceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

Conference

Conference2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016
CountryPortugal
CityMadeira
Period1/07/164/07/16

Keywords

  • Indoor localization
  • Interpersonal relationship
  • Mobile devices
  • Proxemics

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  • Cite this

    Saito, H., & Ueda, Y. (2016). Accurate indoor positioning utilizing interpersonal relationship. In L. Rodrigues, A. P. Abraham, J. Roth, & P. Kommers (Eds.), Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 283-286). (Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016). IADIS.