Unobtrusive user identification with light biometrics

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

14 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

Fingerprint

Biometrics
Oils and fats
Fusion reactions
Health
Experiments

Keywords

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

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). FI: Association for Computing Machinery ACM. https://doi.org/10.1145/1028014.1028065
Ailisto, Heikki ; Lindholm, Mikko ; Mäkelä, Satu Marja ; Vildjiounaite, Elena. / Unobtrusive user identification with light biometrics. Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004. Vol. 82 FI : Association for Computing Machinery ACM, 2004. pp. 327-330
@inproceedings{d51c54961cb84e4e855f4d17f61efa07,
title = "Unobtrusive user identification with light biometrics",
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.",
keywords = "Biometrics, Body fat percentage, Height, Identification, Identity theft, Privacy, Verification, Weight",
author = "Heikki Ailisto and Mikko Lindholm and M{\"a}kel{\"a}, {Satu Marja} and Elena Vildjiounaite",
year = "2004",
month = "12",
day = "1",
doi = "10.1145/1028014.1028065",
language = "English",
isbn = "1-58113-857-1",
volume = "82",
pages = "327--330",
booktitle = "Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004",
publisher = "Association for Computing Machinery ACM",
address = "United States",

}

Ailisto, H, Lindholm, M, Mäkelä, SM & Vildjiounaite, E 2004, Unobtrusive user identification with light biometrics. in Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004. vol. 82, Association for Computing Machinery ACM, FI, pp. 327-330, 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004, Tampere, Finland, 23/10/04. https://doi.org/10.1145/1028014.1028065

Unobtrusive user identification with light biometrics. / Ailisto, Heikki; Lindholm, Mikko; Mäkelä, Satu Marja; Vildjiounaite, Elena.

Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004. Vol. 82 FI : Association for Computing Machinery ACM, 2004. p. 327-330.

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

TY - GEN

T1 - Unobtrusive user identification with light biometrics

AU - Ailisto, Heikki

AU - Lindholm, Mikko

AU - Mäkelä, Satu Marja

AU - Vildjiounaite, Elena

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

KW - Biometrics

KW - Body fat percentage

KW - Height

KW - Identification

KW - Identity theft

KW - Privacy

KW - Verification

KW - Weight

UR - http://www.scopus.com/inward/record.url?scp=77952963352&partnerID=8YFLogxK

U2 - 10.1145/1028014.1028065

DO - 10.1145/1028014.1028065

M3 - Conference article in proceedings

SN - 1-58113-857-1

VL - 82

SP - 327

EP - 330

BT - Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004

PB - Association for Computing Machinery ACM

CY - FI

ER -

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