Human walking estimation with radar

By P. V. Dorp, F. Groen. 2003

298 citations recorded by the source corpus.

How researchers see this paper

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Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments (2009, background): “UWB radar systems can utilize impulse [17], frequency-modulated continuous-wave (FMCW ) [18], stepped frequency [19], or noise [20] waveforms.”
Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks (2016, methodology): “TARGET classification using micro-Doppler signatures has found many applications in defense, surveillance, and private sector [1], [2].”
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine (2009, background): “For example, van Dorp [13] estimated the parameters of human gait from frequency modulated continuous wave radar data.”
Analysis of radar micro-Doppler signatures from experimental helicopter and human data (2007, methodology): “Various computer vision and ultrasound techniques have been developed to measure gait parameters [13-18].”