Micro-Doppler based target recognition with radars: A review

A Hanif, M Muaz, A Hasan, M Adeel - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

RF sensing technologies for assisted daily living in healthcare: A comprehensive review

SA Shah, F Fioranelli - IEEE Aerospace and Electronic Systems …, 2019 - ieeexplore.ieee.org
The aim of radio-frequency (RF) sensing for assisted living is to deliver automatic support
and monitoring for older people in their homes, impaired patients living independently …

Radar data cube processing for human activity recognition using multisubspace learning

B Erol, MG Amin - IEEE Transactions on Aerospace and …, 2019 - ieeexplore.ieee.org
In recent years, radar has been employed as a fall detector because of its effective sensing
capabilities and penetration through walls. In this paper, we introduce a multilinear …

Hand gesture recognition based on radar micro-Doppler signature envelopes

MG Amin, Z Zeng, T Shan - 2019 IEEE radar conference …, 2019 - ieeexplore.ieee.org
We introduce a simple but effective technique in automatic hand gesture recognition using
radar. The proposed technique classifies hand gestures based on the envelopes of their …

Automatic arm motion recognition based on radar micro-Doppler signature envelopes

Z Zeng, MG Amin, T Shan - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In considering human-machine interface (HMI) for smart environment, a simple but effective
method is proposed for automatic arm motion recognition with a Doppler radar sensor. Arms …

People walking classification using automotive radar

L Senigagliesi, G Ciattaglia, A De Santis, E Gambi - Electronics, 2020 - mdpi.com
Automotive radars are able to guarantee high performances at the expenses of a relatively
low cost, and recently their application has been extended to several fields in addition to the …

Arm motion classification using time-series analysis of the spectrogram frequency envelopes

Z Zeng, MG Amin, T Shan - Remote Sensing, 2020 - mdpi.com
Hand and arm gesture recognition using radio frequency (RF) sensing modality proves
valuable in man–machine interfaces and smart environments. In this paper, we use the time …

RPCA-based high resolution through-the-wall human motion feature extraction and classification

Q An, S Wang, L Yao, W Zhang, H Lv… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Radar-based assisted living has received significant amount of research interest in recent
years. However, most of the existing works are focused only on free space detection. When it …

A dual generation adversarial network for human motion detection using micro-Doppler signatures

Y Lang, C Hou, H Ji, Y Yang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Radar sensors and micro-Doppler signatures have been widely used to recognize human
motions. Apart from the motion classification task, human motion detection has attracted …

Detection of gait asymmetry using indoor Doppler radar

AK Seifert, AM Zoubir, MG Amin - 2019 IEEE Radar …, 2019 - ieeexplore.ieee.org
Doppler radar systems enable unobtrusive and privacy-preserving long-term monitoring of
human motions indoors. In particular, a person's gait can provide important information …