As security becomes crucial in an increasing number of industrial contexts, the need arises for new ways to check or authenticate the identity of people. In this paper, wepresent a method that exploits gaze data to implement a soft biometric technique. Specifically, the user’s gaze behavior is inspected during the unconstrained observation of different kinds of static images. The obtained results, achieved using a machine learning approach, are generally satisfying, although more experiments will be necessary to fully confirm the viability of the proposed method.

Strengthening Security in Industrial Settings: A Study on Gaze-Based Biometrics through Free Observation of Static Images

Marco Porta
;
2019-01-01

Abstract

As security becomes crucial in an increasing number of industrial contexts, the need arises for new ways to check or authenticate the identity of people. In this paper, wepresent a method that exploits gaze data to implement a soft biometric technique. Specifically, the user’s gaze behavior is inspected during the unconstrained observation of different kinds of static images. The obtained results, achieved using a machine learning approach, are generally satisfying, although more experiments will be necessary to fully confirm the viability of the proposed method.
2019
978-1-7281-0302-0
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11571/1281966
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact