Life-logging data aggregation solution for interdisciplinary healthcare research and collaboration
Affiliation
University of BedfordshireIssue Date
2015-12-28Subjects
wearable computingInternet of Things
interdisciplinary
life-logging data
B800 Medical Technology
Metadata
Show full item recordAbstract
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..Additional Links
https://ieeexplore.ieee.org/document/7363388Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781509001545ae974a485f413a2113503eed53cd6c53
10.1109/CIT/IUCC/DASC/PICOM.2015.342