Indoor non-rhythmic human motion classification using a frequency-modulated continuous-wave radar

Indoor non-rhythmic human motion classification using a frequency-modulated continuous-wave radar

Human motion classification is widely used in intelligent house, surveillance, search and rescue operation, intelligent house, and elder monitoring. In this study, a frequency-modulated continuous-wave radar is utilised to classify non-rhythmic human motion in an indoor scenario. Both the range and...

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Bibliographic Details
Main Authors: Yu Zou, Chuanwei Ding, Hong Hong, Changzhi Li, Xiaohua Zhu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
cw radar
feature extraction
learning (artificial intelligence)
fm radar
pattern classification
doppler radar
indoor environment
echo
indoor nonrhythmic human motion classification
frequency-modulated continuous-wave radar
indoor scenario
range feature extraction
doppler feature extraction
echo signals
machine learning classifier subspace k-nearest neighbour
nonrhythmic motion recognition
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0560

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0560

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