| Author | Search for: Iglesias, R.; Search for: Orozco, M.; Search for: Valdés, Julio; Search for: El Saddik, A. |
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| Format | Text, Article |
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| Conference | IEEE International Workshop on Haptic Audio Visual Environments and their Applications, October 12-14, 2007, Ottawa, Ontario, Canada |
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| Subject | authentication; biometrics; haptics; virtual reality; visual data mining |
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| Abstract | The 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. |
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| Publication date | 2007 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49866 |
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| NPARC number | 8913643 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | b6d0ef9f-3037-48db-8e2c-44b6b2634a6e |
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| Record created | 2009-04-22 |
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| Record modified | 2020-08-12 |
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