Algorithm Design for Grip-Pattern Verification in Smart Gun

X. Shang, Raymond N.J. Veldhuis, A.M. Bazen, W.P.T. Ganzevoort

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    The Secure Grip project1 focuses on the development of a hand-grip pattern recognition system, as part of the smart gun. Its target customer is the police. To explore the authentication performance of this system, we collected data from a group of police officers, and made authentication simulations based on a likelihood-ratio classifier. This smart gun system has been proved to be useful in the authentication of the police officers. However, its authentication performance needs some further improvement, especially when data for training and testing were collected with some time in between. We present and analyze the simulation results of the authentication experiment. Based on the analyses, we propose some methods to improve the system¿s authentication performance.
    Original languageEnglish
    Title of host publicationProRISC 2005, 16th Workshop on Circuits, Systems and Signal Processing
    Place of PublicationUtrecht, the Netherlands
    Number of pages5
    ISBN (Print)90-73461-50-2
    Publication statusPublished - 2005
    Event16th Workshop on Circuits, Systems and Signal Processing, ProRISC 2005 - Veldhoven, Netherlands
    Duration: 17 Nov 200518 Nov 2005
    Conference number: 16

    Publication series

    PublisherSTW Technology Foundation


    Workshop16th Workshop on Circuits, Systems and Signal Processing, ProRISC 2005


    • IR-53692
    • METIS-226848
    • Grip pattern recognition
    • EWI-19132
    • Support vector machine
    • Likelihood Ratio
    • SCS-Safety
    • smart gun


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