Classify human motions using micro-Doppler radar

Yinan Yang; Wenxue Zhang; Chao Lu

doi:10.1117/12.779072

17 March 2008 Classify human motions using micro-Doppler radar

Yinan Yang, Wenxue Zhang, Chao Lu

Proceedings Volume 6944, Biometric Technology for Human Identification V; 69440V (2008) https://doi.org/10.1117/12.779072
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Yinan Yang, Wenxue Zhang, and Chao Lu "Classify human motions using micro-Doppler radar", Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440V (17 March 2008); https://doi.org/10.1117/12.779072

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