Distributed radar fusion and recurrent networks for classification of continuous human activities
Abstract Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated in this paper using a network of five spatially distributed pulsed Ultra‐Wideband radars. While activities performed continuously and in unconstrained trajectories provide a more realistic and natural scenar...
Main Authors: | Ronny G. Guendel, Francesco Fioranelli, Alexander Yarovoy |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
|
Series: | IET Radar, Sonar & Navigation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rsn2.12249 |
Similar Items
-
Development of a networked photonic‐enabled staring radar testbed for urban surveillance
by: Mohammed Jahangir, et al.
Published: (2024-01-01) -
A Survey on Radar-Based Continuous Human Activity Recognition
by: Ingrid Ullmann, et al.
Published: (2023-01-01) -
Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification
by: Shelly Vishwakarma, et al.
Published: (2023-04-01) -
Spectrum-Free Estimation of Doppler Velocities Using Ultra-Wideband Radar
by: Takuya Sakamoto, et al.
Published: (2017-01-01) -
Drones Classification by the Use of a Multifunctional Radar and Micro-Doppler Analysis
by: Mauro Leonardi, et al.
Published: (2022-05-01)