Tracking the sedentary lifestyle using smartphone: A pilot study

Muhammad Fahim; Asad Masood Khattak; Francis Chow; Babar Shah

doi:10.1109/ICACT.2016.7423366

Tracking the sedentary lifestyle using smartphone: A pilot study

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Smartphone is most ubiquitous device and provides unique opportunity of continuous and automated tracking of sedentary lifestyle with the help of embedded sensors. In this paper, we present the evaluation of our pilot study results to track the sedentary lifestyle. The proposed model works well in real-time and inside the smartphone environment to process the sensory data. We compute the time and frequency domain features over the acceleration signals and classify the context with non-parametric nearest neighbor algorithm. To analyze the lifestyle patterns, information is transferred to the cloud server for archiving, further computation and its availability anywhere, anytime for visualization. It facilitates users to maintain and monitor their everyday lifestyle patterns and assists them to change their unhealthy sedentary behaviour identified by the proposed research. Furthermore, achieved results demonstrate the applicability of the proposed research in real-world scenarios.

Original language	English
Title of host publication	18th International Conference on Advanced Communications Technology
Subtitle of host publication	"Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	296-299
Number of pages	4
ISBN (Electronic)	9788996865063
DOIs	https://doi.org/10.1109/ICACT.2016.7423366
Publication status	Published - 03 Mar 2016
Externally published	Yes
Event	18th International Conference on Advanced Communications Technology, ICACT 2016 - Pyeongchang, Korea, Republic of Duration: 31 Jan 2016 → 03 Feb 2016

Publication series

Name	International Conference on Advanced Communication Technology, ICACT
Volume	2016-March
ISSN (Print)	1738-9445

Conference

Conference	18th International Conference on Advanced Communications Technology, ICACT 2016
Country/Territory	Korea, Republic of
City	Pyeongchang
Period	31/01/2016 → 03/02/2016

Bibliographical note

Publisher Copyright:
© 2016 Global IT Research Institute (GiRI).

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

Keywords

k-NN
Lifestyle
Sedentary behaviour
Smartphone

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICACT.2016.7423366Licence: Unspecified

Cite this

Fahim, M., Khattak, A. M., Chow, F., & Shah, B. (2016). Tracking the sedentary lifestyle using smartphone: A pilot study. In 18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings (pp. 296-299). Article 7423366 (International Conference on Advanced Communication Technology, ICACT; Vol. 2016-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACT.2016.7423366

Fahim, Muhammad ; Khattak, Asad Masood ; Chow, Francis et al. / Tracking the sedentary lifestyle using smartphone: A pilot study. 18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 296-299 (International Conference on Advanced Communication Technology, ICACT).

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title = "Tracking the sedentary lifestyle using smartphone: A pilot study",

abstract = "Smartphone is most ubiquitous device and provides unique opportunity of continuous and automated tracking of sedentary lifestyle with the help of embedded sensors. In this paper, we present the evaluation of our pilot study results to track the sedentary lifestyle. The proposed model works well in real-time and inside the smartphone environment to process the sensory data. We compute the time and frequency domain features over the acceleration signals and classify the context with non-parametric nearest neighbor algorithm. To analyze the lifestyle patterns, information is transferred to the cloud server for archiving, further computation and its availability anywhere, anytime for visualization. It facilitates users to maintain and monitor their everyday lifestyle patterns and assists them to change their unhealthy sedentary behaviour identified by the proposed research. Furthermore, achieved results demonstrate the applicability of the proposed research in real-world scenarios.",

keywords = "k-NN, Lifestyle, Sedentary behaviour, Smartphone",

author = "Muhammad Fahim and Khattak, {Asad Masood} and Francis Chow and Babar Shah",

note = "Publisher Copyright: {\textcopyright} 2016 Global IT Research Institute (GiRI). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 18th International Conference on Advanced Communications Technology, ICACT 2016 ; Conference date: 31-01-2016 Through 03-02-2016",

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doi = "10.1109/ICACT.2016.7423366",

language = "English",

series = "International Conference on Advanced Communication Technology, ICACT",

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Fahim, M, Khattak, AM, Chow, F & Shah, B 2016, Tracking the sedentary lifestyle using smartphone: A pilot study. in 18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings., 7423366, International Conference on Advanced Communication Technology, ICACT, vol. 2016-March, Institute of Electrical and Electronics Engineers Inc., pp. 296-299, 18th International Conference on Advanced Communications Technology, ICACT 2016, Pyeongchang, Korea, Republic of, 31/01/2016. https://doi.org/10.1109/ICACT.2016.7423366

Tracking the sedentary lifestyle using smartphone: A pilot study. / Fahim, Muhammad; Khattak, Asad Masood; Chow, Francis et al.
18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 296-299 7423366 (International Conference on Advanced Communication Technology, ICACT; Vol. 2016-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Smartphone is most ubiquitous device and provides unique opportunity of continuous and automated tracking of sedentary lifestyle with the help of embedded sensors. In this paper, we present the evaluation of our pilot study results to track the sedentary lifestyle. The proposed model works well in real-time and inside the smartphone environment to process the sensory data. We compute the time and frequency domain features over the acceleration signals and classify the context with non-parametric nearest neighbor algorithm. To analyze the lifestyle patterns, information is transferred to the cloud server for archiving, further computation and its availability anywhere, anytime for visualization. It facilitates users to maintain and monitor their everyday lifestyle patterns and assists them to change their unhealthy sedentary behaviour identified by the proposed research. Furthermore, achieved results demonstrate the applicability of the proposed research in real-world scenarios.

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KW - Sedentary behaviour

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Fahim M, Khattak AM, Chow F, Shah B. Tracking the sedentary lifestyle using smartphone: A pilot study. In 18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016: Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 296-299. 7423366. (International Conference on Advanced Communication Technology, ICACT). doi: 10.1109/ICACT.2016.7423366

Tracking the sedentary lifestyle using smartphone: A pilot study

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this