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HandsDown: hand-contour-based user identification for interactive surfaces

HandsDown: hand-contour-based user identification for interactive surfaces,10.1145/1868914.1868964,Dominik Schmidt,Ming Ki Chong,Hans Gellersen

HandsDown: hand-contour-based user identification for interactive surfaces   (Citations: 3)
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HandsDown is a novel technique for user identification on interactive surfaces. It enables users to access personal data on a shared surface, to associate objects with their identity, and to fluidly customize appearance, content, or functionality of the user interface. To identify, users put down their hand flat on the surface. HandsDown is based on hand contour analysis; neither user instrumentation nor external devices are required for identification. Characteristic features of the hand are initially extracted from images captured by the surface's camera system and then classified using Support Vector Machines (SVM). We present a proof-of-concept implementation and show results of our evaluation which indicates the technique's robustness for user identification within small groups. Additionally, we introduce a set of interaction techniques to illustrate how HandsDown can improve the user experience, and we discuss the design space of such interactions.
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    • ...Inspired by the fluidity of HandsDown [12], we present IdLenses as a novel interaction concept for dynamic interface personalization...
    • ...Here, we have selected HandsDown [12] ‐ a biometric identification approach based on hand contour analysis...
    • ...The technical evaluation in [12] showed that HandsDown identification of 17 regis-ITS 2010: Interactions November 7-10, 2010, Saarbr¨ucken, Germany...

    Dominik Schmidtet al. IdLenses: dynamic personal areas on shared surfaces

    • ...However, user identification enables a compelling set of interactions, such as multiuser-aware interfaces [7] or access control [5, 9]...
    • ...The system uses a top mounted camera to track the users’ hands and associate the touches registered underneath a hand with it. Schmidt et al. [9] extend this approach by introducing a biometric hand-contour based system...
    • ...We also plan to combine our approach with the hand-contour recognition described in [9]...

    Tobias Meyeret al. IdWristbands: IR-based user identification on multi-touch surfaces

    • ...While this does not require the users to possess external devices, the system needs them to re-identify every time they moved a hand off the table [7]...

    S. Crisanet al. Hand Vein Biometric Authentication in Optical Multi-touch Systems

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