A survey of deep learning-based human activity recognition in radar
Radar, as one of the sensors for human activity recognition (HAR), has unique
characteristics such as privacy protection and contactless sensing. Radar-based HAR has …
characteristics such as privacy protection and contactless sensing. Radar-based HAR has …
Phase-based methods for heart rate detection using UWB impulse Doppler radar
Ultra-wideband (UWB) pulse Doppler radars can be used for noncontact vital signs
monitoring of more than one subject. However, their detected signals typically have low …
monitoring of more than one subject. However, their detected signals typically have low …
Radar-based human activity recognition using hybrid neural network model with multidomain fusion
W Ding, X Guo, G Wang - IEEE Transactions on Aerospace and …, 2021 - ieeexplore.ieee.org
This article concerns the issue of how to combine the multidomainradar information,
including range–Doppler, time–Doppler, and time–range, for human activity recognition …
including range–Doppler, time–Doppler, and time–range, for human activity recognition …
Attention-augmented convolutional autoencoder for radar-based human activity recognition
C Campbell, F Ahmad - 2020 IEEE international radar …, 2020 - ieeexplore.ieee.org
We propose an attention-augmented convolutional autoencoder for human activity
recognition using radar micro-Doppler signatures. We use attention to overcome the limited …
recognition using radar micro-Doppler signatures. We use attention to overcome the limited …
A lightweight network model for human activity classifiction based on pre-trained mobilenetv2
Z Xiaolong, J Tian, D Hao - IET Conference Proceedings CP779, 2020 - IET
Radar-based human activity classification has attracted more and more attention in the fields
of anti-terrorism maintenance, post-disaster search and rescue, medical monitoring and …
of anti-terrorism maintenance, post-disaster search and rescue, medical monitoring and …
Remote Gait Analysis Using Ultra-Wideband Radar Technology Based on Joint Range-Doppler-Time Representation
C Hadjipanayi, M Yin, A Bannon… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: In recent years, radar technology has been extensively utilized in contactless
human behavior monitoring systems. The unique capabilities of ultra-wideband (UWB) …
human behavior monitoring systems. The unique capabilities of ultra-wideband (UWB) …
Application of naïve Bayes classifier in fall detection systems based on infrared depth sensors
P Mazurek, RZ Morawski - 2015 IEEE 8th International …, 2015 - ieeexplore.ieee.org
A novel solution of the fall detection problem, based on the use of infrared depth sensors, is
proposed. A methodology for acquisition of real-world data and their preprocessing is …
proposed. A methodology for acquisition of real-world data and their preprocessing is …
Radar-based Human Activity Recognition using Multi-Domain Multi-Level Fused Patch-based Learning
Recently, several deep-learning (DL) techniques using different types of 2-D representations
of radar returns, have been developed for radar-based human activity recognition (HAR) …
of radar returns, have been developed for radar-based human activity recognition (HAR) …
Detailed feature representation and analysis of low frequency UWB radar range profile for improving through-wall human activity recognition
Human Activity Recognition (HAR) by using low frequency Ultra-wideband (UWB) through-
the-wall radar (TWR) has always been a challenging task. Due to the limited bandwidth of …
the-wall radar (TWR) has always been a challenging task. Due to the limited bandwidth of …
Comparative study of three algorithms for estimation of echo parameters in UWB radar module for monitoring of human movements
The research reported in this paper is related to the ultra-wide-band radar technology that
may be employed in care services for elderly and disabled persons. Three algorithms for …
may be employed in care services for elderly and disabled persons. Three algorithms for …