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Title: Gesture detection using passive RFID tags to enable people-centric IoT applications
Author: Parada Medina, Raúl  
Melià-Seguí, Joan  
Others: Università degli Studi di Padova
Universitat Oberta de Catalunya (UOC)
Citation: Parada Medina, R. & Melià Seguí, J. (2017). Gesture detection using passive RFID tags to enable people-centric IoT applications. IEEE Communications Magazine, 55(2), 56-61. doi: 10.1109/MCOM.2017.1600701CM
Abstract: Our society may enhance and create new services in a people-centric IoT context through the exchange of information with sensor devices. Unfortunately, communication and services may be compromised due to a number of factors including unreliable communication, complexity, and security threats like spoofing. Within the technologies involved in the IoT paradigm, passive RFID allows the inventorying of simple objects toward wireless communication with a low-cost investment. We present a solution to increase the personalization of IoT applications and services (e.g., accessing a restricted area with a contact- less card) by detecting people-object gestures with an accelerometer-enabled passive RFID tag. We demonstrate the feasibility of our proposal by achieving a precision of 85 percent in people-object gestures classification. As a future task, we aim to implement it in a real scenario.
Keywords: gesture detection
passive RFID tags
people centric IoT applications
information exchange
sensor devices
unreliable communication
security threats
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/submittedVersion
Issue Date: 3-Feb-2017
Publication license:  
Appears in Collections:Articles cientÍfics

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