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RFID Technology for IoT-Based Personal Healthcare in Smart Spaces

IEEE Internet of Things Journal · 2014 · Vol. 1(2) · pp. 144–152
Sara AmendolaRossella LodatoS. ManzariCecilia OcchiuzziGaetano Marrocco

Abstract

The current evolution of the traditional medical model toward the participatory medicine can be boosted by the Internet of Things (IoT) paradigm involving sensors (environmental, wearable, and implanted) spread inside domestic environments with the purpose to monitor the user's health and activate remote assistance. RF identification (RFID) technology is now mature to provide part of the IoT physical layer for the personal healthcare in smart environments through low-cost, energy-autonomous, and disposable sensors. It is here presented a survey on the state-of-the-art of RFID for application to body centric systems and for gathering information (temperature, humidity, and other gases) about the user's living environment. Many available options are described up to the application level with some examples of RFID systems able to collect and process multichannel data about the human behavior in compliance with the power exposure and sanitary regulations. Open challenges and possible new research trends are finally discussed.

RFID technology advancementsEnergy Harvesting in Wireless NetworksIoT and Edge/Fog ComputingWearable computerInternet of ThingsComputer scienceRadio-frequency identificationProcess (computing)Health careParticipatory sensingIdentification (biology)Wearable technologyComputer security
Citations
595
FWCI
65.30
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37
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References
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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