Human gait recognition using micro-doppler features

The motion of the human limbs results in the unique micro Doppler features which can be used for classification and recognition of different gaits. In this paper, a general human model, together with motion capture data of human motion, is displayed to calculate the expected radar echo and spectrogram of the target. Then the echoes of human torso and limbs are separated based on Chirplet signal representation. The cadence of human motion is extracted from the echo of the limbs to classify the different human gaits. Finally the validity of this feature is verified by computer simulation.