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Proceedings Paper

Classify human motions using micro-Doppler radar
Author(s): Yinan Yang; Wenxue Zhang; Chao Lu
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Paper 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.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440V (17 March 2008); doi: 10.1117/12.779072
Show Author Affiliations
Yinan Yang, Towson Univ. (United States)
Wenxue Zhang, Towson Univ. (United States)
Chao Lu, Towson Univ. (United States)

Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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