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    Life-logging data aggregation solution for interdisciplinary healthcare research and collaboration

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    Authors
    Deng, Zhikun
    Yang, Po
    Zhao, Youbing
    Zhao, Xia
    Dong, Feng
    Affiliation
    University of Bedfordshire
    Issue Date
    2015-12-28
    Subjects
    wearable computing
    Internet of Things
    interdisciplinary
    life-logging data
    B800 Medical Technology
    
    Metadata
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    Abstract
    The wide-spread use of wearable devices and mobile apps in the Internet of Things (IoT) environments makes effectively capture of life-logging personal health data come true. A long-term collection of these health data will benefit to interdisciplinary healthcare research and collaboration. But most wearable devices and mobile apps in the market focus on personal fitness plan and lack of compatibility and extensibility to each other. Existing IoT based platforms rarely achieve a successful heterogeneous life-logging data aggregation. Also, the demand on high security increases difficulties of designing reliable platform for integrating and managing multi-resource life-logging health data. This paper investigates the possibility of collecting and aggregating life-logging data with the use of wearable devices, mobile apps and social media. It compares existing personal health data collection solutions and identifies essential needs of designing a life-logging data aggregator in the IoT environments. An integrated data collection solution with high secure standard is proposed and deployed on a stateof-the-art interdisciplinary healthcare platform: MHA [15] by integrating five life-logging resources: Fitbit, Moves, Facbook, Twitter, etc. The preliminary experiment demonstrates that it successfully record, store and reuse the unified and structured personal health information in a long term, including activities, location, exercise, sleep, food, heat rate and mood.
    Citation
    Deng Z, Yang P, Zhao Y, Zhao X, Dong F (2015) 'Life-logging data aggregation solution for interdisciplinary healthcare research and collaboration', 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/10547/623786
    DOI
    10.1109/CIT/IUCC/DASC/PICOM.2015.342
    Additional Links
    https://ieeexplore.ieee.org/document/7363388
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781509001545
    ae974a485f413a2113503eed53cd6c53
    10.1109/CIT/IUCC/DASC/PICOM.2015.342
    Scopus Count
    Collections
    Computing

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