Unobtrusive user identification with light biometrics

Authors:
Heikki Ailisto;Mikko Lindholm;Satu-Marja Mäkelä;Elena Vildjiounaite
Affiliations:
VTT Electronics, Oulu, Finland;VTT Electronics, Oulu, Finland;VTT Electronics, Oulu, Finland;VTT Electronics, Oulu, Finland
Venue:
Proceedings of the third Nordic conference on Human-computer interaction
Year:
2004

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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.