Animal lameness detection with radar sensing [PDF]
, 2018 Lameness is a significant problem for performance horses and farmed animals, with severe impact on animal welfare and treatment costs. Lameness is commonly diagnosed through subjective scoring methods performed by trained veterinary clinicians, but ...
Busin, Valentina +9 more
core +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
Remote Sensing, 2022 In addition to traditional linear Doppler shift, the angular Doppler shift in vortex electromagnetic wave (VEMW) radar systems carrying orbital angular momentum (OAM) can provide more accurate target identification micro-motion parameters, especially the
Lijun Bu +5 more
doaj +1 more source
Passive Radar for Opportunistic Monitoring in e-Health Applications [PDF]
, 2018 This paper proposes a passive Doppler radar as a non-contact sensing method to capture human body movements, recognize respiration, and physical activities in e-Health applications.
Li, Wenda, Piechocki, Robert J., Tan, Bo
core +6 more sources
Remote SensingMicro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj +1 more source
A novel algorithm for radar classification based on Doppler characteristics exploiting orthogonal pseudo-Zernike polynomials [PDF]
, 2015 Phase modulation induced by target micro-motions introduces side-bands in the radar spectral signature returns. Time-frequency distributions facilitate the representation of such modulations in a micro-Doppler signature that is useful in the ...
Clemente, Carmine +4 more
core +1 more source
Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
core +1 more source
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
, 2018 Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Abdulatif, Sherif +4 more
core +1 more source
Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]
, 2018 In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi +3 more
core +1 more source
Comparison of Radar Signatures from a Hybrid VTOL Fixed-Wing Drone and Quad-Rotor Drone
Drones, 2022 Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor ...
Jiangkun Gong +4 more
doaj +1 more source