Through-Wall Human Activity Recognition With Complex-Valued Range–Time–Doppler Feature and Region-Vectorization ConvGRU
Author:
Affiliation:
1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
2. Huawei Technologies Company, Ltd., Shanghai, China
Funder
Municipal Government of Quzhou
Higher Education Discipline Innovation Project
Guangdong Key Areas Research and Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10308643.pdf?arnumber=10308643
Reference47 articles.
1. Position-Information-Indexed Classifier for Improved Through-Wall Detection and Classification of Human Activities Using UWB Bio-Radar
2. Complex field-based fusion network for human activities classification with radar;guo;Proc IET Int Radar Conf,2020
3. Human activity classification based on micro-Doppler signatures using a support vector machine;kim;IEEE Trans Geosci Remote Sens,2009
4. Radar-based Human Activities Classification with Complex-valued Neural Networks
5. DCNN Based Human Activity Recognition Using Micro-Doppler Signatures
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