• DocumentCode
    3436203
  • Title

    Safer@Home Analytics: A Big Data Analytical Solution for Smart Homes

  • Author

    Chakravorty, Anjan ; Wlodarczyk, Tomasz ; Chunming Rong

  • Author_Institution
    Dept. of Comput. & Electr. Eng., Univ. of Stavanger, Stavanger, Norway
  • Volume
    1
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    705
  • Lastpage
    710
  • Abstract
    The vast amounts of data generated from sensors in smart homes, can give valuable insights about social and behavioral patters on households and their residents. The goal of the project is investigation & implementation of mechanisms to capture/store vast continuous streams of time-series data from optical movement sensors, analyze & mine for anomalies/changes enabling preventive care with mechanisms for presentation/visualization of meaningful information to target user groups (next of kin, care providers, professional services), while ensuring that the privacy of participants are preserved.
  • Keywords
    Big Data; assisted living; data analysis; data mining; geriatrics; home computing; Safer@Home analytics; big data analytical solution; optical movement sensors; preventive care; smart homes; time-series data; Data analysis; Data privacy; Distributed databases; Intelligent sensors; Smart homes; aging-in-place; big data; data analysis; data mining; smart homes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
  • Conference_Location
    Bristol
  • Type

    conf

  • DOI
    10.1109/CloudCom.2013.129
  • Filename
    6753865