Improving the validity of lifelogging physical activity measures in an internet of things environment

2.50
Hdl Handle:
http://hdl.handle.net/10547/623787
Title:
Improving the validity of lifelogging physical activity measures in an internet of things environment
Authors:
Yang, Po ( 0000-0002-8553-7127 ) ; Hanneghan, Martin; Qi, Jun; Deng, Zhikun ( 0000-0002-3659-757X ) ; Dong, Feng ( 0000-0003-4122-8012 ) ; Fan, Dina
Abstract:
Recently, the popular use of wearable devices and mobile apps makes the effectively capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible. The effective collection of measures of physical activity in the long term is beneficial to interdisciplinary healthcare research and collaboration from clinicians, researchers to patients. However, due to heterogeneity of connected devices and rapid change of diverse life patterns in an IoT environment, lifelogging physical activity information captured by mobile devices usually contains much uncertainty. In this paper, we provide a comprehensive review of existing life-logging physical activity measurement devices, and identify regular and irregular uncertainties of these activity measures in an IoT environment. We then project the distribution of irregular uncertainty by defining a walking speed related score named as Daily Activity in Physical Space (DAPS). Finally, we present an ellipse fitting model based validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment. The experimental results reflect that the proposed method effectively improves the validity of physical activity measures in a healthcare platform.
Citation:
Yang P, Hanneghan M, Qi J, Deng Z, Dong F, Fan D (2015) 'Improving the validity of lifelogging physical activity measures in an internet of things environment', 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/10547/623787
DOI:
10.1109/CIT/IUCC/DASC/PICOM.2015.341
Additional Links:
https://ieeexplore.ieee.org/document/7363387
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781509001545
Appears in Collections:
Computing

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Poen
dc.contributor.authorHanneghan, Martinen
dc.contributor.authorQi, Junen
dc.contributor.authorDeng, Zhikunen
dc.contributor.authorDong, Fengen
dc.contributor.authorFan, Dinaen
dc.date.accessioned2020-01-14T11:14:59Z-
dc.date.available2020-01-14T11:14:59Z-
dc.date.issued2015-12-28-
dc.identifier.citationYang P, Hanneghan M, Qi J, Deng Z, Dong F, Fan D (2015) 'Improving the validity of lifelogging physical activity measures in an internet of things environment', 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.2015.341-
dc.identifier.urihttp://hdl.handle.net/10547/623787-
dc.description.abstractRecently, the popular use of wearable devices and mobile apps makes the effectively capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible. The effective collection of measures of physical activity in the long term is beneficial to interdisciplinary healthcare research and collaboration from clinicians, researchers to patients. However, due to heterogeneity of connected devices and rapid change of diverse life patterns in an IoT environment, lifelogging physical activity information captured by mobile devices usually contains much uncertainty. In this paper, we provide a comprehensive review of existing life-logging physical activity measurement devices, and identify regular and irregular uncertainties of these activity measures in an IoT environment. We then project the distribution of irregular uncertainty by defining a walking speed related score named as Daily Activity in Physical Space (DAPS). Finally, we present an ellipse fitting model based validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment. The experimental results reflect that the proposed method effectively improves the validity of physical activity measures in a healthcare platform.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.urlhttps://ieeexplore.ieee.org/document/7363387en
dc.subjectphysical activityen
dc.subjectlife-logging dataen
dc.subjectInternet of Thingsen
dc.subjectB800 Medical Technologyen
dc.titleImproving the validity of lifelogging physical activity measures in an internet of things environmenten
dc.typeConference papers, meetings and proceedingsen
dc.date.updated2020-01-14T11:08:44Z-
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