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Unobtrusive user identification with light biometrics

Published:23 October 2004Publication History

ABSTRACT

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.

References

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  • Published in

    cover image ACM Other conferences
    NordiCHI '04: Proceedings of the third Nordic conference on Human-computer interaction
    October 2004
    472 pages
    ISBN:1581138571
    DOI:10.1145/1028014

    Copyright © 2004 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 23 October 2004

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    Overall Acceptance Rate379of1,572submissions,24%

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