Unobtrusive user identification with light biometrics

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

    19 Citations (Scopus)


    Biometric methods are used for recognition and verification of the identity of a person in many applications. Certain concerns over the obtrusive nature of their use, threats to privacy and even the danger of identity theft are rising. In this paper unobtrusive and privacy preserving light biometrics, such as height, weight, and body fat percentage are suggested for user identification. An experiment with 62 test subjects was conducted. In verification type of application total error rate of 11% was achieved using weight data alone and fusion with height data reduced the error rate to 2.4%. With a short list of five best scoring identities the percentage of cases with the correct identity on the list was 90% for weight alone and 100% for the combination of weight and height. The application domain for light biometrics is seen in non-security applications, such as homes, small offices and health clubs.

    Original languageEnglish
    Title of host publicationProceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004
    Place of PublicationFI
    PublisherAssociation for Computing Machinery ACM
    Number of pages4
    ISBN (Print)1-58113-857-1
    Publication statusPublished - 1 Dec 2004
    MoE publication typeA4 Article in a conference publication
    Event3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004 - Tampere, Finland
    Duration: 23 Oct 200427 Oct 2004


    Conference3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004


    • Biometrics
    • Body fat percentage
    • Height
    • Identification
    • Identity theft
    • Privacy
    • Verification
    • Weight


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