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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Vydáno v:	IEEE sensors journal Ročník 20; číslo 21; s. 12848 - 12858
Hlavní autoři:	Qi, Rui, Li, Xiuping, Zhang, Yi, Li, Yubing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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