Results 71 to 80 of about 25,497 (306)
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
Advanced Healthcare Materials, EarlyView.Myocardial infarction often leads to pathological remodelling and ventricular dilatation, key features of HFrEF. This study introduces a personalized, 3D‐printed cardiac restraint device (CARD) printed using rationally designed inks displaying the requested printability and mechanical properties.
Nicola Mansour +6 more
wiley +1 more source
Star-Shaped Wheel for Mechanical Micro-Doppler Modulation
IEEE Antennas and Wireless Propagation Letters, 2021 This letter investigates the possibility of using deliberated geometries for rotating targets, which may improve the detectability and classification by means of its micro-Doppler signature. Beyond the signature provided by the rotation rate of the target, every particular geometry leads to specific and unique modulation waveforms that increase the ...
Jordi Verdu +4 more
openaire +3 more sources
Dop‐NET: a micro‐Doppler radar data challenge [PDF]
Electronics Letters, 2020 Radar sensors have a new growing application area of dynamic hand gesture recognition. Traditionally radar systems are considered to be very large, complex and focused on detecting targets at long ranges. With modern electronics and signal processing it is now possible to create small compact RF sensors that can sense subtle movements over short ranges.
M. Ritchie, R. Capraru, F. Fioranelli
openaire +3 more sources
Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine
Advanced Materials, EarlyView.A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen +5 more
wiley +1 more source
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
Advanced Materials, EarlyView.This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau +9 more
wiley +1 more source
IET Radar, Sonar & NavigationUnmanned Aerial Vehicles, or drones, pose a significant threat to privacy and security. To understand and assess this threat, classification between different drone models and types is required.
Matthew Moore +2 more
doaj +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
Advanced Materials Technologies, EarlyView.This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source