Sequential Human Gait Classification With Distributed Radar Sensor Fusion

• Published in: IEEE sensors journal Vol. 21; no. 6; pp. 7590 - 7603
• Main Authors: Li, Haobo, Mehul, Ajay, Le Kernec, Julien, Gurbuz, Sevgi Z., Fioranelli, Francesco
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.03.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...