Person Recognition Method using Sequential Walking Footprints
via Overlapped Foot Shape and Center-Of-Pressure Trajectory
Jin-Woo Jung, Sang-Wan Lee, Zeungnam Bien, Tomomasa Sato
One emerging biometric identification method is the use of
human footprint. However, in the previous research, there
were some limitations resulting from the spatial resolution of
sensors. One possible method to overcome this limitation is
through the use additional information such as dynamic
walking information in sequential walking footprint. In this
study, we suggest a new person recognition scheme based on
both overlapped foot shape and COP (Center Of Pressure)
trajectory during one-step walking. And, we show the
usefulness of the suggested method, obtaining a 98.6%
recognition rate in our experiment with eleven people. In
addition, we show an application of the suggested method,
automatic door-opening system for intelligent residential
space. Full Text
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