Behavioral Features for Different Haptic-based Biometric Tasks

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ConferenceProceedings of the IEEE International Workshop on Haptic Audio Visual Environments and their Applications, October 12-14, 2007., Ottawa, Ontario, Canada
Subjectauthentication; biometrics; haptics; virtual reality; visual data mining; biométrie; haptique; réalité virtuelle; exploration visuelle des données
AbstractThe science of haptics or haptic technology has received enormous attention in the last decade for multiple applications. A new promising example is the use of haptic-based systems for individual authentication. A user's behavioral characteristics captured while interacting with a virtual scene are significantly more difficult to compromise than traditional means (i.e. login ID and passwords). Moreover, another advantage is that this technology allows a user not only to gain access to the system but also to continuously verify individual authenticity during the whole session of haptic interaction. Our current haptic-based biometric system for authentication (the BioHaptic system) has integrated a variety of applications: solving a virtual maze, signing a virtual cheque and dialing phone codes on a virtual phone. In this paper, with the use of a 3D visual representation we study: (1) a subset of features with the greatest user-classificatory worth and (2) whether or not such features are dependent on the application used. We believe this study will enhance the success of individual authentication based on human-haptic interactions.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49866
NPARC number8913643
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Record identifierb6d0ef9f-3037-48db-8e2c-44b6b2634a6e
Record created2009-04-22
Record modified2016-05-09
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