A survey of physical activity monitoring and assessment using Internet of Things technology

2.50
Hdl Handle:
http://hdl.handle.net/10547/623789
Title:
A survey of physical activity monitoring and assessment using Internet of Things technology
Authors:
Qi, Jun; Yang, Po ( 0000-0002-8553-7127 ) ; Fan, Dina; Deng, Zhikun ( 0000-0002-3659-757X )
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.
Affiliation:
Liverpool John Moores University; University of Bedfordshire
Citation:
Qi J., Yang P., Fan D., Deng Z. (2015) 'A survey of physical activity monitoring and assessment using internet of things technology', IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool, Institute of Electrical and Electronics Engineers Inc..
Publisher:
Institute of Electrical and Electronics Engineers Inc.
Issue Date:
28-Dec-2015
URI:
http://hdl.handle.net/10547/623789
DOI:
10.1109/CIT/IUCC/DASC/PICOM.2015.348
Additional Links:
https://ieeexplore.ieee.org/document/7363394
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781509001545
Appears in Collections:
Computing

Full metadata record

DC FieldValue Language
dc.contributor.authorQi, Junen
dc.contributor.authorYang, Poen
dc.contributor.authorFan, Dinaen
dc.contributor.authorDeng, Zhikunen
dc.date.accessioned2020-01-14T11:42:20Z-
dc.date.available2020-01-14T11:42:20Z-
dc.date.issued2015-12-28-
dc.identifier.citationQi J., Yang P., Fan D., Deng Z. (2015) 'A survey of physical activity monitoring and assessment using internet of things technology', IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool, Institute of Electrical and Electronics Engineers Inc..en
dc.identifier.isbn9781509001545-
dc.identifier.doi10.1109/CIT/IUCC/DASC/PICOM.2015.348-
dc.identifier.urihttp://hdl.handle.net/10547/623789-
dc.description.abstractAs 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.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.urlhttps://ieeexplore.ieee.org/document/7363394en
dc.subjectphysical activityen
dc.subjectInternet of Thingsen
dc.subjectB800 Medical Technologyen
dc.titleA survey of physical activity monitoring and assessment using Internet of Things technologyen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentLiverpool John Moores Universityen
dc.contributor.departmentUniversity of Bedfordshireen
dc.date.updated2020-01-14T11:40:18Z-
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