Recognition of Approximate Motions of Human Based on Micro-Doppler Features
Author:
Affiliation:
1. School of Electronic Engineering, Xidian University, Xi’an, China
2. School of Engineering, University of Glasgow, Glasgow, U.K
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10139852/10106788.pdf?arnumber=10106788
Reference41 articles.
1. A novel algorithm for radar classification based on doppler characteristics exploiting orthogonal Pseudo-Zernike polynomials
2. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
3. Radar Micro-Doppler Signatures: Processing and Applications
4. Pedestrian Detection using Infrared images and Histograms of Oriented Gradients
5. Classification of micro-Doppler radar hand-gesture signatures by means of Chebyshev moments
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3. Extracting Visual Micro-Doppler Signatures From Human Lips Motion Using UoG Radar Sensing Data for Hearing Aid Applications;IEEE Sensors Journal;2023-10-01
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