• DocumentCode
    186434
  • Title

    hSpy: An intelligent framework for context and predictive analysis for smarter health devices

  • Author

    Araujo Oliveira, Eduardo ; Kirley, Michael ; Vanz, Elena ; Gama, Kiev

  • Author_Institution
    Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    53
  • Lastpage
    58
  • Abstract
    The world is experiencing an unprecedented explosion in the number of smart devices and mobile apps available. In particular in health area devices and technologies related to market place are often restricted to proprietary platforms, typically working in isolation with fixed hardware settings. Gaining access to high-quality data - including aggregated data from existing sensors, gadgets and smart devices is one important challenge. This article explores the idea of hSpy, an intelligent framework to support context and predictive analysis based on the integration of distributed and heterogeneous mobile sensor data for smarter health devices. hSpy aims to help users monitoring their current health status via the acquisition of meaningful and accurate information.
  • Keywords
    health care; mobile computing; context awareness; hSpy; intelligent framework; mobile sensor data; predictive analysis; smart health devices; Computer architecture; Context-aware services; Intelligent sensors; Medical services; Mobile handsets; Monitoring; context aware; health monitoring; internet of things; mobile sensors; predictive analysis; smarter devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2014 International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/ICTC.2014.6983083
  • Filename
    6983083