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Using Gaze for Behavioural Biometrics.


ABSTRACT: A principled approach to the analysis of eye movements for behavioural biometrics is laid down. The approach grounds in foraging theory, which provides a sound basis to capture the uniqueness of individual eye movement behaviour. We propose a composite Ornstein-Uhlenbeck process for quantifying the exploration/exploitation signature characterising the foraging eye behaviour. The relevant parameters of the composite model, inferred from eye-tracking data via Bayesian analysis, are shown to yield a suitable feature set for biometric identification; the latter is eventually accomplished via a classical classification technique. A proof of concept of the method is provided by measuring its identification performance on a publicly available dataset. Data and code for reproducing the analyses are made available. Overall, we argue that the approach offers a fresh view on either the analyses of eye-tracking data and prospective applications in this field.

SUBMITTER: D'Amelio A 

PROVIDER: S-EPMC9920149 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Using Gaze for Behavioural Biometrics.

D'Amelio Alessandro A   Patania Sabrina S   Bursic Sathya S   Cuculo Vittorio V   Boccignone Giuseppe G  

Sensors (Basel, Switzerland) 20230122 3


A principled approach to the analysis of eye movements for behavioural biometrics is laid down. The approach grounds in foraging theory, which provides a sound basis to capture the uniqueness of individual eye movement behaviour. We propose a composite Ornstein-Uhlenbeck process for quantifying the exploration/exploitation signature characterising the foraging eye behaviour. The relevant parameters of the composite model, inferred from eye-tracking data via Bayesian analysis, are shown to yield  ...[more]

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