Besides revealing useful information, like gender, age, existing impairments, the gait of every person is acknowledged to be so distinctive to allow the personal identification and it is regarded as a valid biometric authentication, similarly to fingerprinting and face recognition. Although the first analyses on the gait were conducted in laboratories with dedicated equipment, portable sensors have been exploited as they become available thanks to the technology miniaturization. Aiming at an even more unobtrusive analysis, recent proposals rely on the data acquired from the 3-axis accelerometer embedded in most of the smartphones commercially available on the market. Nevertheless the analysis must be tailored to the lower-grade accelerometer and the limited computational capability of the smartphone. This paper identifies the guidelines that the state-of-the-art research proposes for the gait recognition through a smartphone and discusses the procedures that are found as more appropriate.

On gait recognition with smartphone accelerometer / Ferrero, Renato; Gandino, Filippo; Montrucchio, Bartolomeo; Rebaudengo, Maurizio; Velasco, ALEJANDRO DAVID; Benkhelifa, I.. - ELETTRONICO. - (2015), pp. 368-373. ((Intervento presentato al convegno 2015 4th Mediterranean Conference on Embedded Computing (MECO) tenutosi a Budva (Montenegro) nel 14-18 Giugno 2015 [10.1109/MECO.2015.7181946].

On gait recognition with smartphone accelerometer

FERRERO, RENATO;GANDINO, FILIPPO;MONTRUCCHIO, BARTOLOMEO;REBAUDENGO, Maurizio;VELASCO, ALEJANDRO DAVID;
2015

Abstract

Besides revealing useful information, like gender, age, existing impairments, the gait of every person is acknowledged to be so distinctive to allow the personal identification and it is regarded as a valid biometric authentication, similarly to fingerprinting and face recognition. Although the first analyses on the gait were conducted in laboratories with dedicated equipment, portable sensors have been exploited as they become available thanks to the technology miniaturization. Aiming at an even more unobtrusive analysis, recent proposals rely on the data acquired from the 3-axis accelerometer embedded in most of the smartphones commercially available on the market. Nevertheless the analysis must be tailored to the lower-grade accelerometer and the limited computational capability of the smartphone. This paper identifies the guidelines that the state-of-the-art research proposes for the gait recognition through a smartphone and discusses the procedures that are found as more appropriate.
978-1-4799-8999-7
File in questo prodotto:
File Dimensione Formato  
Ferrero_MECO2015.pdf

non disponibili

Descrizione: Articolo principale
Tipologia: Altro materiale allegato
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 447.01 kB
Formato Adobe PDF
447.01 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

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/11583/2609367
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo