Recognizing User Identity by Touch on Tabletop Displays: An Interactive Authentication Method

Persistent Link:
http://hdl.handle.net/10150/265555
Title:
Recognizing User Identity by Touch on Tabletop Displays: An Interactive Authentication Method
Author:
Torres Peralta, Raquel
Issue Date:
2012
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Embargo:
Release after 19-Dec-2013
Abstract:
Multi-touch tablets allow users to interact with computers through intuitive, natural gestures and direct manipulation of digital objects. One advantage of these devices is that they can offer a large, collaborative space where several users can work on a task at the same time. However the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion. This technique has two key features. First, at each step in authentication the system prompts the user to make a specific gesture selected to maximize the expected long-term information gain. Second, each gesture is integrated using a hierarchical probabilistic model, allowing the system to accept or reject a user after a variable number of gestures. This touch-based approach would allow the user to accurately authenticate without the need to cover their hand or look over their shoulder. This method has been tested using a set of samples collected under real-world conditions in a business office, with a touch tablet that was used on a near daily basis by users familiar with the device. Despite the lack of sophisticated, high-precision equipment, the system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive signature" that can be used as a powerful biometric measure for user recognition and personalization.
Type:
text; Electronic Dissertation
Keywords:
Multitouch; User Recognition; Computer Science; Authentication; Machine Learning
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Computer Science
Degree Grantor:
University of Arizona
Advisor:
Barnard, Kobus

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleRecognizing User Identity by Touch on Tabletop Displays: An Interactive Authentication Methoden_US
dc.creatorTorres Peralta, Raquelen_US
dc.contributor.authorTorres Peralta, Raquelen_US
dc.date.issued2012-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.releaseRelease after 19-Dec-2013en_US
dc.description.abstractMulti-touch tablets allow users to interact with computers through intuitive, natural gestures and direct manipulation of digital objects. One advantage of these devices is that they can offer a large, collaborative space where several users can work on a task at the same time. However the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion. This technique has two key features. First, at each step in authentication the system prompts the user to make a specific gesture selected to maximize the expected long-term information gain. Second, each gesture is integrated using a hierarchical probabilistic model, allowing the system to accept or reject a user after a variable number of gestures. This touch-based approach would allow the user to accurately authenticate without the need to cover their hand or look over their shoulder. This method has been tested using a set of samples collected under real-world conditions in a business office, with a touch tablet that was used on a near daily basis by users familiar with the device. Despite the lack of sophisticated, high-precision equipment, the system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive signature" that can be used as a powerful biometric measure for user recognition and personalization.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectMultitouchen_US
dc.subjectUser Recognitionen_US
dc.subjectComputer Scienceen_US
dc.subjectAuthenticationen_US
dc.subjectMachine Learningen_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorBarnard, Kobusen_US
dc.contributor.committeememberCohen, Paulen_US
dc.contributor.committeememberBeal, Carole R.en_US
dc.contributor.committeememberMorrison, Clayen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.