Wireless sensing and reconstruction of human movements is a crucial task also for monitoring of workers' safety. For such a purpose, in this work, a UHF RFID tag integrated with an Inertial Measurement Unit (IMU) sensor has been designed so to exploit the low-power-consumption of RFID technology, and then realized and tested. It leverages on a specific RFID chip, the Impinj Monza X, provided with a wired memory access in addition to the classical wireless one. The working range is guaranteed by boosting the chip sensitivity through an on-board battery, also used to supply an ultra-low power microcontroller and the IMU. To test the device in a realistic environment, such as occupational setting, some prototypes have been simultaneously applied on harms and torso of a subject and the transmitted data used as input of a virtual human-body biomechanical model. The capability of the system of correctly reconstruct the human body movements validates the proposed approach.

RFID-based Sensing and Reconstruction of Human Movements for Safety Monitoring of Workers

Colella, R;Tumolo, MR;Mincarone, P;Catarinucci, L
2022-01-01

Abstract

Wireless sensing and reconstruction of human movements is a crucial task also for monitoring of workers' safety. For such a purpose, in this work, a UHF RFID tag integrated with an Inertial Measurement Unit (IMU) sensor has been designed so to exploit the low-power-consumption of RFID technology, and then realized and tested. It leverages on a specific RFID chip, the Impinj Monza X, provided with a wired memory access in addition to the classical wireless one. The working range is guaranteed by boosting the chip sensitivity through an on-board battery, also used to supply an ultra-low power microcontroller and the IMU. To test the device in a realistic environment, such as occupational setting, some prototypes have been simultaneously applied on harms and torso of a subject and the transmitted data used as input of a virtual human-body biomechanical model. The capability of the system of correctly reconstruct the human body movements validates the proposed approach.
2022
978-1-6654-6594-6
File in questo prodotto:
File Dimensione Formato  
RFID-based_Sensing_and_Reconstruction_of_Human_Movements_for_Safety_Monitoring_of_Workers.pdf

solo utenti autorizzati

Descrizione: Articolo
Tipologia: Versione editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 350.95 kB
Formato Adobe PDF
350.95 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/490204
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact