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.File in questo prodotto:
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