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dc.contributor.authorFahim, Muhammad
dc.contributor.authorKhattak, Asad Masood
dc.contributor.authorBaker, Thar
dc.contributor.authorChow, Francis
dc.contributor.authorShah, Babar
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-13T09:37:51Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-13T09:37:51Z
dc.date.issued2016en_US
dc.identifier.isbn978-1-4673-9609-7
dc.identifier.issn2377-858X
dc.identifier.urihttps://hdl.handle.net/20.500.12436/1055
dc.description6th International Conference on Digital Information and Communication Technology and its Applications (DICTAP) -- JUL 21-23, 2016 -- Konya, TURKEYen_US
dc.descriptionWOS: 000383221500006en_US
dc.description.abstractEmbedded 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.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 SIXTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND ITS APPLICATIONS (DICTAP)en_US
dc.relation.ispartofseriesInternational Conference on Digital Information and Communication Technology and it's Applications
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMicro-context Recognizeren_US
dc.subjectSedentary behaviouren_US
dc.subjectSmartphoneen_US
dc.subjectk-NNen_US
dc.titleMicro-context Recognition of Sedentary Behaviour using Smartphoneen_US
dc.typeconferenceObjecten_US
dc.authoridThar Baker |0000-0002-5166-4873en_US
dc.authoridMuhammad Fahim |0000-0003-0014-0874
dc.authoridBabar Shah |0000-0002-5090-4695
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.identifier.startpage30en_US
dc.identifier.endpage34en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorFahim, Muhammad
dc.department-temp[Fahim, Muhammad] Istanbul Sabahattin Zaim Univ, Dept Comp Engn, Fac Engn & Nat Sci, TR-34303 Istanbul, Turkey; [Khattak, Asad Masood; Shah, Babar] Zayed Univ, Coll Technol Innovat, Dubai, U Arab Emirates; [Baker, Thar] Liverpool John Moores Univ, Dept Comp Sci, Liverpool, Merseyside, England; [Chow, Francis] Zayed Univ, Univ Coll, Dubai, U Arab Emiratesen_US


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