• DocumentCode
    11254
  • Title

    Using RFID to Detect Interactions in Ambient Assisted Living Environments

  • Author

    Parada, Raul ; Melia-Segui, Joan ; Morenza-Cinos, Marc ; Carreras, Anna ; Pous, Rafael

  • Author_Institution
    Univ. Pompeu Fabra, Barcelona, Spain
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    16
  • Lastpage
    22
  • Abstract
    Elderly people with physical or cognitive disabilities such as visual impairment lack independence in their everyday activities, such as shopping in retail stores. Ambient assisted living (AAL) technologies can help. The authors of this article propose the use of RFID technologies to enable an AAL system in a retail store. This article presents an RFID-enabled intelligent system that can detect user-object interactions via a supervised machine learning algorithm. The authors´ proposal detects RFID signals from different objects and classifies them as interacted or static objects through an automatic training system, achieving a detection accuracy over 86 percent.
  • Keywords
    Internet of Things; computer based training; handicapped aids; learning (artificial intelligence); radiofrequency identification; ubiquitous computing; AAL system; Internet of Things; IoT; RFID enabled intelligent system; RFID signals; RFID technologies; ambient assisted living environments; automatic training system; cognitive disabilities; detect interactions; elderly people; retail store; retail stores; supervised machine learning algorithm; ubiquitous computing; user-object interactions; Ambient networks; Assisted living; Internet of things; Navigation; Object recognition; Radio frequency; Radiofrequency identification; handicapped persons/special needs; intelligent systems; interactive systems; machine learning; sensor networks; wireless systems;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.43
  • Filename
    7156012