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The feasibility of employing a continuous-wave terahertz detection system for non-contact and non-destructive testing (NDT) in multi-layered bonding structures is assessed in this study. The paper introduces the detection principle of terahertz frequency modulated continuous wave (FMCW) radar and outlines the two-dimensional (2D) scanning platform, which integrates optical lenses, three linear actuators, a control platform, and data acquisition units. Experimental results on two types of insulation with prefabricated defects demonstrate the capability of terahertz waves for transparent inspection imaging.
View Article and Find Full Text PDFRF sensing enabled tracking of human facial expressions using machine learning algorithms.
Sci Rep
November 2024
University of Glasgow, James Watt School of Engineering, G12 8QQ, Glasgow, UK.
Automatic analysis of facial expressions has emerged as a prominent research area in the past decade. Facial expressions serve as crucial indicators for understanding human behavior, enabling the identification and assessment of positive and negative emotions. Moreover, facial expressions provide insights into various aspects of mental activities, social connections, and physiological information.
View Article and Find Full Text PDFA New Method for Traffic Participant Recognition Using Doppler Radar Signature and Convolutional Neural Networks.
Sensors (Basel)
June 2024
Institute of Navigation, Polish Air Force University, 08-521 Dęblin, Poland.
The latest survey results show an increase in accidents on the roads involving pedestrians and cyclists. The reasons for such situations are many, the fault actually lies on both sides. Equipping vehicles, especially autonomous vehicles, with frequency-modulated continuous-wave (FMCW) radar and dedicated algorithms for analyzing signals in the time-frequency domain as well as algorithms for recognizing objects in radar imaging through deep neural networks can positively affect safety.
View Article and Find Full Text PDFPedestrian Pose Recognition Based on Frequency-Modulated Continuous-Wave Radar with Meta-Learning.
Sensors (Basel)
May 2024
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2050, Australia.
With the continuous advancement of autonomous driving and monitoring technologies, there is increasing attention on non-intrusive target monitoring and recognition. This paper proposes an ArcFace SE-attention model-agnostic meta-learning approach (AS-MAML) by integrating attention mechanisms into residual networks for pedestrian gait recognition using frequency-modulated continuous-wave (FMCW) millimeter-wave radar through meta-learning. We enhance the feature extraction capability of the base network using channel attention mechanisms and integrate the additive angular margin loss function (ArcFace loss) into the inner loop of MAML to constrain inner loop optimization and improve radar discrimination.
View Article and Find Full Text PDFEcho detection thresholds in big brown bats (Eptesicus fuscus) vary with echo spectral content.
JASA Express Lett
March 2024
Department of Neuroscience, Brown University, Providence, Rhode Island 02912, USA.
Echolocating big brown bats (Eptesicus fuscus) broadcast downward frequency-modulated sweeps covering the ultrasonic range from 100-23 kHz in two harmonics. They perceive target range from the time delay between each broadcast and its returning echo. Previous experiments indicated that the bat's discrimination acuity for broadcast-echo delay declines when the lowest frequencies (23-35 kHz) in the first harmonic of an echo are removed.
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