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Summary: The Smart Floor: A Mechanism for Natural User
Identification and Tracking
Robert J. Orr and Gregory D. Abowd
Graphics, Visualization, and Usability (GVU) Center
Georgia Institute of Technology
Atlanta, GA 30332-0280 USA
+1 404 894 5103
{rjo, abowd}@cc.gatech.edu
ABSTRACT
We have created a system for identifying people based on
their footstep force profiles and have tested its accuracy
against a large pool of footstep data. This floor system
may be used to transparently identify users in their
everyday living and working environments. We have
created user footstep models based on footstep profile
features and have been able to achieve a recognition rate of
93% using this feature-based approach. We have also
shown that the effect of footwear is negligible on
recognition accuracy.
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