Using RFID to Detect Interactions in Ambient Assisted Living Environments

Raúl Parada, Joan Melià-Seguí, Marc Morenza-Cinos, Anna Carreras, Rafael Pous

Research output: Indexed journal article Articlepeer-review

39 Citations (Scopus)


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.

Original languageEnglish
Article number7156012
Pages (from-to)16-22
Number of pages7
JournalIEEE Intelligent Systems
Issue number4
Publication statusPublished - 1 Jul 2015
Externally publishedYes


  • handicapped persons/special needs
  • intelligent systems
  • interactive systems
  • machine learning
  • sensor networks
  • wireless systems


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