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

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    Authors
    Yang, Po
    Hanneghan, Martin
    Qi, Jun
    Deng, Zhikun
    Dong, Feng
    Fan, Dina
    Issue Date
    2015-12-28
    Subjects
    physical activity
    life-logging data
    Internet of Things
    B800 Medical Technology
    
    Metadata
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    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.
    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
    ae974a485f413a2113503eed53cd6c53
    10.1109/CIT/IUCC/DASC/PICOM.2015.341
    Scopus Count
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    Computing

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