Unobtrusive user identification with light biometrics

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

15 Citations (Scopus)

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.

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
Pages327-330
Number of pages4
Volume82
ISBN (Print)1-58113-857-1
DOIs
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

Conference

Conference3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004
CountryFinland
CityTampere
Period23/10/0427/10/04

Keywords

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

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  • Cite this

    Ailisto, H., Lindholm, M., Mäkelä, S. M., & Vildjiounaite, E. (2004). Unobtrusive user identification with light biometrics. In Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004 (Vol. 82, pp. 327-330). Association for Computing Machinery ACM. https://doi.org/10.1145/1028014.1028065