基于雷达的微多普勒特征行人步态模式分析,以保护弱势道路使用者

Patrick Rippl, Johannes Iberle, Marc A. Mutschler, Philipp A. Scharf, H. Mantz, T. Walter
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引用次数: 3

摘要

这一贡献提供了一种在多普勒雷达测量的背景下分离和数学描述单个身体部位运动的方法。使用傅里叶级数近似,显示了单个身体部位,即躯干和膝盖的准周期微多普勒特征。如近似系数所示,这些身体部位的运动表现出某些特征。因此,傅里叶系数提供了描述单个身体部位的微多普勒特征的特征模式。频率分量与行人的步频一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of pedestrian gait patterns using radar based Micro-Doppler Signatures for the protection of vulnerable road users
This contribution provides an approach to isolate and mathematically describe the movement of single body parts in the context of Doppler radar measurements. Using a Fourier series approximation, the quasi-periodic Micro-Doppler signatures of single body parts, namely the torso and the knee, are displayed. The motion of these body parts show certain features as the coefficients of the approximation indicate. As a result, the Fourier coefficients deliver a characteristic pattern describing the Micro-Doppler signatures of the single body parts. The frequency component coincides with the stride rate of the pedestrian.
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