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Eye-Movements as a Biometric
[chapter]
2005
Lecture Notes in Computer Science
We suggest an integration of the eyemovement-based identification into general video-based biometric systems. ...
For still object viewing of 1 second duration, identification rate of 60 % can be obtained by using dynamics of pupil diameters. ...
The distance can be accurately measured by an eye-tracker and used as a feature for biometric. ...
doi:10.1007/11499145_79
fatcat:g7cslfeptfb77fygzgm74k2ueq
Fusion of eye movement and mouse dynamics for reliable behavioral biometrics
2016
Pattern Analysis and Applications
Mouse dynamics were collected without any special equipment, while an affordable The Eye Tribe eye tracker was used to gather eye movement data at a frequency of 30 Hz, which is also potentially possible ...
This paper presents the first attempt to fuse two different kinds of behavioral biometrics: mouse dynamics and eye movement biometrics. ...
The aim of the paper is to provide a new approach to biometric identification using a combined feature analysis based on eye movement and mouse dynamics signals. ...
doi:10.1007/s10044-016-0568-5
fatcat:ywgscrrcebbmbpolyts4pgblfq
DIGITAL SIGNATURE METHODS BASED BIOMETRICS
2019
International Journal of Advanced Research
the 716 dynamics of the human joint (the human finger) , the parts has been description by a frequency field which used by the frequency response function (FRF),the index finger of the right hand was ...
capacity saccade and low amplitude saccade, is used in general medicine as well as useful and very important in operations such as identity verification and identification of the user. 714 Eye movement ...
doi:10.21474/ijar01/9415
fatcat:mmjmukhs4ze5rfs2lbujqdxury
Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics
[article]
2024
arXiv
pre-print
We present an empirical investigation quantifying a modern eye movement biometric model's ability to link subject identities across three different eye tracking devices using eye movement signals from ...
We show that a state-of-the art eye movement biometrics model demonstrates above-chance levels of biometric performance (34.99% equal error rate, 15% rank-1 identification rate) when linking user identities ...
Acknowledgements This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1840989. ...
arXiv:2402.08655v1
fatcat:imfmkouk25eb7irhu7eyde5lxq
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection using Deep Neural Networks
2021
IEEE Transactions on Biometrics Behavior and Identity Science
We study involuntary micro-movements of both eyes, in addition to saccadic macro-movements, as biometric characteristic. ...
The model detects replay attacks by processing both the controlled but randomized stimulus and the ocular response to this stimulus. ...
Eye movements are recorded using an Eyelink Portable Duo eye tracker (tripod mounted camera) at a sampling frequency of 1,000 Hz. ...
doi:10.1109/tbiom.2021.3116875
fatcat:nxncoc2qjfeb3hpuzwwxd44veq
Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye
[article]
2019
arXiv
pre-print
We study involuntary micro-movements of the eye for biometric identification. ...
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. ...
Acknowledgments This work was partially funded by the German Science Foundation under grant SFB1294, and by the German Federal Ministry of Research and Education under grant 16DII116-DII. ...
arXiv:1906.11889v3
fatcat:6z6pnhfpefblbfjuqcxcrnp7ja
First eye movement verification and identification competition at BTAS 2012
2012
2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
The results highlight the importance of very careful eye positional data capture to ensure meaningfulness of identification outcomes. ...
Additionally, this work discusses possible future directions of research in the eye movement-based biometrics domain. ...
Gaze Data Recording and Quality Assessment Eye movements are recorded by a device called an eye tracker, which reports raw eye positional data at specified sampling frequency [22] . ...
doi:10.1109/btas.2012.6374577
dblp:conf/btas/KasprowskiKK12
fatcat:mpkpg53whvhlpmz6amadchi3we
Object Selection as a Biometric
2022
Entropy
To achieve this, an experiment for collecting eye movement data for biometric purposes was conducted. ...
The XORed Biometric template is further secured by multiplication with an identity matrix of size (n × n). ...
Acknowledgments: Authors would like to thank the anonymous reviewers for careful reading of the manuscript and providing constructive comments and suggestions which have helped them to improve the quality ...
doi:10.3390/e24020148
pmid:35205444
pmcid:PMC8870805
fatcat:acude3jp5jgmzd2c454odmdnay
Biometric recognition via fixation density maps
2014
Biometric and Surveillance Technology for Human and Activity Identification XI
This work introduces and evaluates a novel eye movement-driven biometric approach that employs eye fixation density maps for person identification. ...
The innate ability of fixation density maps to capture the spatial layout of the eye movements in conjunction with their probabilistic nature makes them a particularly suitable option as an eye movement ...
ACKNOWLEDGEMENTS This work is supported in part by NSF CAREER Grant #CNS-1250718 and NIST Grants #60NANB10D213 and #60NANB12D234. Special gratitude is expressed to Dr. ...
doi:10.1117/12.2054227
fatcat:ldz5gtiprfaanmubr244mg2mbq
The Impact of Temporal Proximity between Samples on Eye Movement Biometric Identification
[chapter]
2013
Lecture Notes in Computer Science
Eye movements' identification is an interesting alternative to other biometric identification methods. It compiles both physiological and behavioral aspects and therefore it is difficult to forge. ...
Different authors present their methodologies using their own datasets of samples recorded with different devices and scenarios. It excludes possibility to compare different approaches. ...
Samples were taken with 250Hz frequency using Ober2 eye tracker. It was a jumping point on 2x2 matrix used as stimulus. ...
doi:10.1007/978-3-642-40925-7_8
fatcat:pockbmkp4ranbglhpdz3wlnb7y
Liveness detection via oculomotor plant characteristics: Attack of mechanical replicas
2013
2013 International Conference on Biometrics (ICB)
A novel approach that performs liveness detection for biometric modalities that use eye movement signal for person identification is proposed and evaluated. ...
Specifically, we investigate following classes of replicas: a) those that are built using default OPC values specified by the research literature, and b) those that are built from the OPC specific to an ...
Acknowledgements This work was supported in part by Texas State University, the National Science Foundation CAREER Grant #CNS-1250718, and the National Institute of Standards Grants #60NANB10D213 and #60NANB12D234 ...
doi:10.1109/icb.2013.6612984
dblp:conf/icb/KomogortsevK13
fatcat:nqn7wkkhwnaorm6yquvyg75upe
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars
2020
IEEE Transactions on Visualization and Computer Graphics
Our first contribution is an optical defocus based hardware solution to remove the iris biometric from the stream of eye tracking images. ...
Thus, if a user wishes to protect their iris biometric, our approach provides a solution that balances biometric protection while preventing their conversation partner from perceiving a difference in the ...
ACKNOWLEDGMENTS The authors wish to thank Cody LaFlamme for generating the stimuli used in our studies. ...
doi:10.1109/tvcg.2020.2973052
pmid:32070963
fatcat:ymsyybbs7zeiji6wzov5axk6w4
Person verification via eye movement-driven text reading model
2015
2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)
The paper presents a reading-based eye movement biometrics model. ...
The model is able to process passages of text and extract metrics that represent the physiological and behavioral aspects of the eye movements in reading. ...
even from an inexpensive eye trackers. ...
doi:10.1109/btas.2015.7358786
dblp:conf/btas/AbdulinK15
fatcat:dnj3vjbfgnhgfatafndul3ngoe
EmMixformer: Mix transformer for eye movement recognition
[article]
2024
arXiv
pre-print
To overcome this problem, we propose in this paper a mixed transformer termed EmMixformer to extract time and frequency domain information for eye movement recognition. ...
Eye movement (EM) is a new highly secure biometric behavioral modality that has received increasing attention in recent years. ...
The data were recorded using an EyeLink Portable Duo eye tracker with a sampling frequency of 1,000 Hz. ...
arXiv:2401.04956v1
fatcat:rjs4lbuidnb6lom6pcc7tqr6ai
Analysis of Reflexive Eye Movements for Fast Replay-Resistant Biometric Authentication
2018
ACM Transactions on Privacy and Security
Due to the fact that human eyes are fast, responsive, and carry information unique to an individual, analyzing person's gaze is particularly attractive for rapid biometric authentication. ...
This allows us to prevent replay attacks, which are possibly the most applicable attack vectors against biometric authentication. ...
Ivo Sluganovic is supported by the UK EPSRC doctoral studentship, Scatcherd European Scholarship, and the Frankopan Fund. Authors wish to thank Armasuisse for support with the gaze tracking equipment. ...
doi:10.1145/3281745
fatcat:bxibjb7gu5gfddm73hfjyfklx4
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