Networked and Embedded Systems Laboratory

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Abstract

Fitness monitoring is a fundamental service in pervasive healthcare, but finding a balance between usability and privacy is a hard challenge. To lessen users’ anxieties in privacy concerns, we propose a new way of identification by only utilizing imprecise biometrics and existing informa-tion. Our solution is “hassle free” because it maintains the devices’ original user interface without adding additional sensors and sacrificing user privacy. We demonstrate this idea with a fitness monitoring system for the healthy indi-viduals in a workplace. The system uses collected physio-logical information (weight, blood pressure and heart rate) and context information (computer network activity) to identify a user. Our experiments show that we can achieve a correct user identification of up to 87%. We believe that our solution can serve as an easy addition to the simple interfaces of current technology by enhancing them with smart algorithms.

(This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in HealthNet 2008)

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