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Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning
Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of various
Seungeon Song+3 more
doaj +1 more source
Wireless Sleep Apnea Detection Using Continuous Wave Quadrature Doppler Radar
A non-contact and non-invasive physiological radar monitoring system (PRMS) is introduced. The system is based on motion detection using quadrature microwave Doppler radar, eliminating the need to place sensors on the body.
M. Baboli+4 more
semanticscholar +1 more source
A Hybrid CNN–LSTM Network for the Classification of Human Activities Based on Micro-Doppler Radar
Many deep learning (DL) models have shown exceptional promise in radar-based human activity recognition (HAR) area. For radar-based HAR, the raw data is generally converted into a 2-D spectrogram by using short-time Fourier transform (STFT).
Jianping Zhu, Haiquan Chen, W. Ye
semanticscholar +1 more source
Surface velocity is traditionally measured with in situ techniques such as velocity probes (in shallow rivers) or Acoustic Doppler Current Profilers (in deeper water). In the last years, researchers have developed remote sensing techniques, both optical (
Filippo Bandini+5 more
doaj +1 more source
Wind Farm Wakes from SAR and Doppler Radar
We retrieve atmospheric wake characteristics at the wind farm Westermost Rough from Sentinel-1 Synthetic Aperture Radar (SAR) images. For the first time, co-located reference measurements of the full flow field around the wind farm are available from ...
Tobias Ahsbahs+3 more
semanticscholar +1 more source
Noise radar range doppler imaging via 2D generalized smoothed‐l0
This paper presents an algorithm to enhance the range‐Doppler imaging performance for noise radar. Traditional matched filtering based method suffers from high range and Doppler sidelobes, which makes the weak targets overwhelmed by the sidelobes of ...
Xingyu Lu, Hong Gu, Weimin Su
doaj +1 more source
Multi-Doppler resolution automotive radar [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Sammy Kolpinizki, Oded Bialer
openaire +3 more sources
Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification
Abstract This paper proposes an efficient method to determine the material of spherical objects and the location of the receiving antenna relative to the object in bi‐static measurements using supervised learning techniques. From a single observation, we compare classification performances resulting from the application of several classifiers on ...
Yasmina Zaky+3 more
wiley +1 more source
An Adaptive Filtering Algorithm Based on Range-Doppler Information Guidance
Millimetre-wave frequency-modulated continuous-wave (FMCW) radar is widely used in various scenarios. However, it is often affected by static and dynamic clutter interference, which has a negative impact on its performance.
Zhuo Li, Jun Zhang, Biyuan Li, Jiazhi Yu
doaj +1 more source
Deep learning serves traffic safety analysis: A forward‐looking review
Abstract This paper explores deep learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasising driving safety for both autonomous vehicles and human‐operated vehicles. A typical processing pipeline is presented, which can be used to understand and interpret traffic videos by extracting operational safety ...
Abolfazl Razi+6 more
wiley +1 more source