17 March 2008 Classify human motions using micro-Doppler radar
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In this paper, human motion model and RCS (radar cross section) simulation of radar returns from human are investigated. Micro-Doppler signatures [1-6] induced by human motions are studied. It shows that the time-frequency representation of micro-Doppler signature provides distinctive time-varying features for human motions. Motion of different body part has different micro-Doppler signature. Thus, micro-Doppler can be a promising method for classifying human activities. Measurement data using an experimental X-band micro-Doppler radar were collected and the results are compared with the corresponding simulation results. The classification of human motions based on micro-Doppler signatures is also discussed.
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Yinan Yang, Yinan Yang, Wenxue Zhang, Wenxue Zhang, Chao Lu, Chao Lu, } "Classify human motions using micro-Doppler radar", Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440V (17 March 2008); doi: 10.1117/12.779072; https://doi.org/10.1117/12.779072

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