Proceedings ArticleDOI
UWB micro-doppler radar for human gait analysis using joint range-time-frequency representation
Yazhou Wang,Aly E. Fathy +1 more
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TLDR
A novel, standalone ultra wideband (UWB) micro- doppler radar sensor that goes beyond simple range or micro-Doppler detection to combined range-time-Doppelganger frequency analysis and can monitor more than one human object in both line-of-sight (LOS) and through wall scenarios.Abstract:
In this paper, we present a novel, standalone ultra wideband (UWB) micro-Doppler radar sensor that goes beyond simple
range or micro-Doppler detection to combined range-time-Doppler frequency analysis. Moreover, it can monitor more
than one human object in both line-of-sight (LOS) and through wall scenarios, thus have full human objects tracking
capabilities. The unique radar design is based on narrow pulse transceiver, high speed data acquisition module, and
wideband antenna array. For advanced radar post-data processing, joint range-time-frequency representation has been
performed. Characteristics of human walking activity have been analyzed using the radar sensor by precisely tracking the
radar object and acquiring range-time-Doppler information simultaneously. The UWB micro-Doppler radar prototype is
capable of detecting Doppler frequency range from -180 Hz to +180 Hz, which allows a maximum target velocity of 9
m/s. The developed radar sensor can also be extended for many other applications, such as respiration and heartbeat
detection of trapped survivors under building debris.read more
Citations
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Journal ArticleDOI
A Survey of Deep Learning-Based Human Activity Recognition in Radar
Xinyu Li,Yuan He,Xiaojun Jing +2 more
TL;DR: This paper elaborate deep learning approaches designed for activity recognition in radar according to the dimension of radar returns, including 1D, 2D and 3D echoes and addresses some current research considerations and future opportunities.
Journal ArticleDOI
Phase-Based Methods for Heart Rate Detection Using UWB Impulse Doppler Radar
TL;DR: To further enhance the accuracy of the HR estimation, a recently developed state-space method has been successfully combined with CSD and AD techniques and over 10 dB improvements in SNR is demonstrated.
Journal ArticleDOI
Radar-Based Human Activity Recognition Using Hybrid Neural Network Model With Multidomain Fusion
Wen Ding,Xuemei Guo,Guoli Wang +2 more
TL;DR: A novel hybrid neural network model is developed for exploring multidomain fusion of radar information, and three kinds of 2-D domain spectra are used in a fashion of supplementing each other with a hybrid framework that combines three models: 1-D convolution neural network, recurrent Neural network, and 2- D convolution network.
Proceedings ArticleDOI
Attention-Augmented Convolutional Autoencoder for Radar-Based Human Activity Recognition
TL;DR: An attention-augmented convolutional autoencoder for human activity recognition using radar micro-Doppler signatures demonstrates that the incorporation of the attention mechanism yields superior classification accuracy with respect to training sample size, compared to the conventional CAE.
Proceedings ArticleDOI
Application of naïve Bayes classifier in fall detection systems based on infrared depth sensors
Pawel Mazurek,Roman Z. Morawski +1 more
TL;DR: A novel solution of the fall detection problem, based on the use of infrared depth sensors, is proposed and a methodology for acquisition of real-world data and their preprocessing is presented.
References
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Book
Time-Frequency Transforms for Radar Imaging and Signal Analysis
Victor C. Chen,Hao Ling +1 more
TL;DR: This work presents a meta-analysis of radar electronic backscattering radar signals radar ambiguity function and matched filter synthetic aperture radar imaging, which highlights the importance of time-frequency transforms for radar applications.
Journal ArticleDOI
Human walking estimation with radar
P. van Dorp,Frans C. A. Groen +1 more
TL;DR: A human walking model is presented which can be used both to calculate the radar response and to visually animate a walking person and the results show that estimation of the walking parameters is possible.
Proceedings ArticleDOI
Application of a continuous wave radar for human gait recognition
TL;DR: In this paper, Fourier transform techniques were used to analyze these signatures and key features were identified that are very representative of the human walking motion, which could have a wide range of security and perimeter protection applications involving the use of low-cost CW radars as remote sensors.
Journal ArticleDOI
CW and Pulse–Doppler Radar Processing Based on FPGA for Human Sensing Applications
TL;DR: This paper discusses using field-programmable gate arrays (FPGAs) to process either time- or frequency-domain signals in human sensing radar applications and gives an example for a continuous-wave (CW) Doppler radar and another for an ultrawideband (UWB) pulse–Doppler (PD) radar.
Journal ArticleDOI
Doppler and direction-of-arrival (DDOA) radar for multiple-mover sensing
TL;DR: A low-cost two-element receiving array concept is investigated for detecting multiple moving targets in indoor surveillance applications using the use of only two elements in the receiver array.
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