Gesture detection using passive RFID tags to enable people-centric IoT applications

Author

Parada Medina, Raúl

Melià Seguí, Joan Antoni

Other authors

Università degli Studi di Padova

Universitat Oberta de Catalunya (UOC)

Publication date

2018-05-16T07:11:41Z

2018-05-16T07:11:41Z

2017-02-03



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.

Document Type

Article
Submitted version

Language

English

Subjects and keywords

gesture detection; passive RFID tags; people centric IoT applications; information exchange; sensor devices; unreliable communication; security threats; detecció de gestos; etiquetes RFID passives; aplicacions de l'Internet de les coses centrades en les persones; intercanvi d'informació; dispositius de sensors; comunicació poc fiable; amenaces de seguretat; detección de gestos; etiquetas RFID pasivas; aplicaciones del Internet de las cosas centradas en las personas; intercambio de información; dispositivos de sensores; comunicación poco fiable; amenazas de seguridad; Internet of things; Internet de les coses; Internet de las cosas

Publisher

IEEE Communications Magazine

Related items

IEEE Communications Magazine, 2017, 55(2)

https://doi.org/10.1109/MCOM.2017.1600701CM

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