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Human motion animation using microDoppler signatures from multiple Doppler sensors

A technique for imaging five prominent point scatterers on the human (torso, two legs and two feet) using the microDoppler data collected from multiple Doppler sensors is presented along with some preliminary results. The accuracy of the estimation of the position of the body parts is mainly limited by errors in the feature extraction. The method is potentially applicable for visualizing more complex human motions, provided the correspondence issue of extracted Doppler features across multiple sensors could be properly addressed.