Unobtrusive multimodal biometrics for ensuring privacy and information security with personal devices

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    54 Citations (Scopus)

    Abstract

    The need for authenticating users of ubiquitous mobile devices is becoming ever more critical with the increasing value of information stored in the devices and of services accessed via them. Passwords and conventional biometrics such as fingerprint recognition offer fairly reliable solutions to this problem, but these methods require explicit user authentication and are used mainly when a mobile device is being switched on. Furthermore, conventional biometrics are sometimes perceived as privacy threats. This paper presents an unobtrusive method of user authentication for mobile devices in the form of recognition of the walking style (gait) and voice of the user while carrying and using the device. While speaker recognition in noisy conditions performs poorly, combined speaker and accelerometer-based gait recognition performs significantly better. In tentative tests with 31 users the Equal Error Rate varied between 2% and 12% depending on noise conditions, typically less than half of the Equal Error Rates of individual modalities.

    Original languageEnglish
    Title of host publicationPervasive Computing
    Subtitle of host publication4th International Conference, PERVASIVE 2006, Proceedings
    PublisherSpringer
    Pages187-201
    ISBN (Print)3-540-33894-2, 978-3-540-33894-9
    DOIs
    Publication statusPublished - 1 Jan 2006
    MoE publication typeA4 Article in a conference publication
    Event4th International Conference on Pervasive Computing, PERVASIVE 2006 - Dublin, Ireland
    Duration: 7 May 200610 May 2006

    Publication series

    SeriesLecture Notes in Computer Science
    Volume3968
    ISSN0302-9743

    Conference

    Conference4th International Conference on Pervasive Computing, PERVASIVE 2006
    Country/TerritoryIreland
    CityDublin
    Period7/05/0610/05/06

    Keywords

    • biometrics
    • user authentication
    • mobile devices
    • PDAs
    • walking style
    • accelerometer-based gait recognition

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