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Sensing Movement on Smartphone Devices to Assess User Interaction for Face Verification

Lunerti, Chiara, Guest, Richard, Baker, Jon, Fernandez-Lopez, Pablo, Sanchez-Reillo, Raul (2018) Sensing Movement on Smartphone Devices to Assess User Interaction for Face Verification. In: IEEE ICCST 2018. International Carnahan Conference on Security Technology . IEEE ISBN 978-1-5386-7931-9. (doi:10.1109/CCST.2018.8585547) (KAR id:69850)

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Official URL
http://dx.doi.org/10.1109/CCST.2018.8585547

Abstract

Unlocking and protecting smartphone devices has

as it has the promise of a secure and quick authentication solution

challenges for this biometric modality in a mobile context, where

research proposes a method to assess user interaction by analysing

during verification sample capture. From accelerometer data, we

pitch, roll, and yaw (angles around the x-axis, y-axis, and z-axis of

and number of movements during a facial image capture process.

possible to ensure good sample quality and high biometric

regulate the amplitude on variations of the smartphone

suggest that better quality images are obtained when users spend

more time positioning the smartphone before taking an image.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/CCST.2018.8585547
Uncontrolled keywords: biometrics, face verification, mobile devices, sensing, data, user interaction
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 30 Oct 2018 14:06 UTC
Last Modified: 16 Feb 2021 13:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69850 (The current URI for this page, for reference purposes)
Guest, Richard: https://orcid.org/0000-0001-7535-7336
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