Application of a Continuous Wave Radar for Human Gait Recognition
December 2005
Michael Otero, The MITRE Corporation
ABSTRACT
A continuous wave (CW) radar has been used for the detection and classification of people based on the
Doppler signatures they produce when walking. When humans walk, the motion of various components of the
body including the torso, arms, and legs produce a very characteristic Doppler signature. Fourier transform
techniques were used to analyze these signatures and key features were identified that are very representative of
the human walking motion. Data was collected on a number of human subjects and a simple classifier was
developed to recognize people walking. The results of this study could have a wide range of security and
perimeter protection applications involving the use of low-cost CW radars as remote sensors.
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radar, gait recognition, remote sensor, motion sensing
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