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

Autor/in	Torres Peralta, Raquel
Titel	Recognizing User Identity by Touch on Tabletop Displays: An Interactive Authentication Method
Quelle	(2012), (87 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, The University of Arizona
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-2678-4442-2
Schlagwörter	Hochschulschrift; Dissertation; Handheld Devices; Manipulative Materials; Computer Security; Privacy; Nonverbal Communication; Accuracy; Man Machine Systems; Identification + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Hilfsmittel; Computervirus; Computersicherheit; Privatsphäre; Non-verbal communication; Nonverbale Kommunikation; Mensch-Maschine-System; Identifikation; Identifizierung
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. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01