Sequential Human Gait Classification With Distributed Radar Sensor Fusion

This paper presents different information fusion approaches to classify human gait patterns and falls in a radar sensors network. The human gaits classified in this work are both individual and sequential, continuous gait collected by a FMCW radar and three UWB pulse radar placed at different spatia...

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Vydané v:	IEEE sensors journal Ročník 21; číslo 6; s. 7590 - 7603
Hlavní autori:	Li, Haobo, Mehul, Ajay, Le Kernec, Julien, Gurbuz, Sevgi Z., Fioranelli, Francesco
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Classification Classifiers Data integration Decision trees Doppler radar fall detection Gait gait analysis Legged locomotion machine learning Multisensor fusion Neural networks Pulse radar Radar RF sensing Sensor fusion Sensor phenomena and characterization Sensors Ultra wideband radar Ultrawideband radar Walking
ISSN:	1530-437X, 1558-1748
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