A survey of physical activity monitoring and assessment using internet of things technology

Jun Qi; Po Yang; Zhikun Deng; Dina Fan

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.348

A survey of physical activity monitoring and assessment using internet of things technology

Jun Qi
, Po Yang
, Zhikun Deng
, Dina Fan

Institute for Research in Applicable Computing (IRAC)

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

38 Citations (Scopus)

Abstract

As a key health indictor, daily physical activity (PA) data has great significance on diagnosis and treatment of many chronic diseases. Numerous studies have been carried out for accurately monitoring and assessing physical activity. Most attentions of these studies focus on designing standalone highly accurate wearable sensors or investigating advance machine learning algorithms to train these PA data in a controlled environment. But the wide use of cost-effective wearable devices and mobile apps makes it possible to monitor and access PA into a more open and connective Internet of Things (IoT) environment. Yet, it still lacks of a systemic survey on how to effectively transfer classic PA monitoring and assessment (PAMA) technologies into a heterogeneous device connected IoT environment. In an effect to understand the development of IoT technologies in PAMA, this paper reviews current research of PAMA technologies from an IoT layerbased perspective, and also identifies research challenges and future trends. A main contribution of this review paper is that it is first attempt to categorize classic PAMA technologies into an IoT architecture systematically.

Original language	English
Title of host publication	2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2353-2358
ISBN (Electronic)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.348
Publication status	Published - 28 Dec 2015
Event	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool Duration: 26 Oct 2015 → 28 Oct 2015

Conference

Conference	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
City	Liverpool
Period	26/10/15 → 28/10/15
Other	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (26/10/2015-28/10/2015, Liverpool)

Keywords

Internet of things
physical activity

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10.1109/CIT/IUCC/DASC/PICOM.2015.348

https://ieeexplore.ieee.org/document/7363394

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Qi, J., Yang, P., Deng, Z., & Fan, D. (2015). A survey of physical activity monitoring and assessment using internet of things technology. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (pp. 2353-2358). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.348

Qi, Jun ; Yang, Po ; Deng, Zhikun et al. / A survey of physical activity monitoring and assessment using internet of things technology. 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2353-2358

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title = "A survey of physical activity monitoring and assessment using internet of things technology",

abstract = "As a key health indictor, daily physical activity (PA) data has great significance on diagnosis and treatment of many chronic diseases. Numerous studies have been carried out for accurately monitoring and assessing physical activity. Most attentions of these studies focus on designing standalone highly accurate wearable sensors or investigating advance machine learning algorithms to train these PA data in a controlled environment. But the wide use of cost-effective wearable devices and mobile apps makes it possible to monitor and access PA into a more open and connective Internet of Things (IoT) environment. Yet, it still lacks of a systemic survey on how to effectively transfer classic PA monitoring and assessment (PAMA) technologies into a heterogeneous device connected IoT environment. In an effect to understand the development of IoT technologies in PAMA, this paper reviews current research of PAMA technologies from an IoT layerbased perspective, and also identifies research challenges and future trends. A main contribution of this review paper is that it is first attempt to categorize classic PAMA technologies into an IoT architecture systematically.",

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Qi, J, Yang, P, Deng, Z & Fan, D 2015, A survey of physical activity monitoring and assessment using internet of things technology. in 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. Institute of Electrical and Electronics Engineers Inc., pp. 2353-2358, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, Liverpool, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.348

A survey of physical activity monitoring and assessment using internet of things technology. / Qi, Jun; Yang, Po; Deng, Zhikun et al.
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2353-2358.

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

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Qi J, Yang P, Deng Z, Fan D. A survey of physical activity monitoring and assessment using internet of things technology. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2353-2358 doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.348

A survey of physical activity monitoring and assessment using internet of things technology

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