Multi-Classification Algorithm for Human Motion Recognition Based on IR-UWB Radar

In this paper, a multi-classification algorithm for human motion recognition based on Impulse-Radio Ultra-wideband (IR-UWB) radar is presented. The algorithm includes three parts. First, the k-NearestNeighbor (KNN) algorithm is used to classify the radial features of pre-processed signal to determin...

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Veröffentlicht in:	IEEE sensors journal Jg. 20; H. 21; S. 12848 - 12858
Hauptverfasser:	Qi, Rui, Li, Xiuping, Zhang, Yi, Li, Yubing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Artificial neural networks Classification Classification algorithms convolutional neural networks (CNNs) Doppler radar Doppler shift Doppler shifts feature Feature extraction Human motion Human motion recognition IR-UWB radar k-NearestNeighbor (KNN) Legged locomotion Motion perception power spectrum feature Recognition Sensors Signal processing Spectrograms Ultrawideband radar
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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