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Exploiting the Earth’s Spherical Geometry to Geolocate Images Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye

Authors : Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer

Published in: Machine Learning and Knowledge Discovery in Databases

Publisher: Springer International Publishing

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Abstract

We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-tracking systems and engineer explicit features of these macro-movements, we develop a deep convolutional architecture that processes the raw eye-tracking signal. Compared to prior work, the network attains a lower error rate by one order of magnitude and is faster by two orders of magnitude: it identifies users accurately within seconds.

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Metadata
Title
Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye
Authors
Lena A. Jäger
Silvia Makowski
Paul Prasse
Sascha Liehr
Maximilian Seidler
Tobias Scheffer
Copyright Year
2020
Book
Machine Learning and Knowledge Discovery in Databases

Print ISBN: 978-3-030-46146-1

Electronic ISBN: 978-3-030-46147-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-46147-8_18

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