Using RFID to Detect Interactions in Ambient Assisted Living Environments

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

doi:10.1109/MIS.2015.43

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 › Article › peer-review

39 Citations (Scopus)

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.

Original language	English
Article number	7156012
Pages (from-to)	16-22
Number of pages	7
Journal	IEEE Intelligent Systems
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/MIS.2015.43
Publication status	Published - 1 Jul 2015
Externally published	Yes

Keywords

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

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10.1109/MIS.2015.43

Cite this

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AU - Morenza-Cinos, Marc

AU - Carreras, Anna

AU - Pous, Rafael

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AB - 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.

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Using RFID to Detect Interactions in Ambient Assisted Living Environments

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Keywords

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