Unobtrusive user identification with light biometrics

Heikki Ailisto; Mikko Lindholm; Satu Marja Mäkelä; Elena Vildjiounaite

doi:10.1145/1028014.1028065

Unobtrusive user identification with light biometrics

Heikki Ailisto, Mikko Lindholm, Satu Marja Mäkelä, Elena Vildjiounaite

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

19 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 language	English
Title of host publication	Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004
Place of Publication	FI
Publisher	Association for Computing Machinery ACM
Pages	327-330
Number of pages	4
Volume	82
ISBN (Print)	1-58113-857-1
DOIs	https://doi.org/10.1145/1028014.1028065
Publication status	Published - 1 Dec 2004
MoE publication type	A4 Article in a conference publication
Event	3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004 - Tampere, Finland Duration: 23 Oct 2004 → 27 Oct 2004

Conference

Conference	3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004
Country/Territory	Finland
City	Tampere
Period	23/10/04 → 27/10/04

Keywords

Biometrics
Body fat percentage
Height
Identification
Identity theft
Privacy
Verification
Weight

Access to Document

10.1145/1028014.1028065

Cite this

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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",

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booktitle = "Proceedings of the 3rd Nordic Conference on Human-Computer Interaction, NordiCHI 2004",

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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 et al.
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 proceeding › Conference article in proceedings › Scientific › peer-review

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Unobtrusive user identification with light biometrics

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Keywords

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