Micro-context recognition of sedentary behaviour using smartphone

Muhammad Fahim, Asad Masood Khattak, Thar Baker, Francis Chow, Babar Shah

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

7 Citations (Scopus)

Abstract

Embedded sensors of smartphone provides a unique opportunity to recognize the micro-context of sedentary behaviour. In this paper, we present our research findings on how to recognize micro-contexts by utilizing on board sensors of smartphone. Our proposed approach consists of two stages process. First, we recognize the situation of a person to be either stationery or moving. If stationary, then high probability to be sedentary, in which we can then find micro details about the current context. Second, we process environmental sound and recognize the person's micro-context such as watching television, working on computers or relaxing. Furthermore, we also provide the lifestyle analytics over cloud computing infrastructure to make it available anywhere and anytime for self-management purpose. We developed an initial working prototype to evaluate the applicability of our approach in a real-world scenario.
Original languageEnglish
Title of host publication2016 6th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages30-34
Number of pages5
ISBN (Electronic)9781467396097
DOIs
Publication statusPublished - 18 Aug 2016
Externally publishedYes
Event6th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2016 - Konya, Turkey
Duration: 21 Jul 201623 Jul 2016

Publication series

NameInternational Conference on Digital Information and Communication Technology and Its Applications: Proceedings
PublisherIEEE

Conference

Conference6th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2016
Country/TerritoryTurkey
CityKonya
Period21/07/201623/07/2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • k-NN
  • Micro-context Recognizer
  • Sedentary behaviour
  • Smartphone

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Computer Science Applications

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