Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition

S Ahmed, SH Cho - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

An overview of algorithms for contactless cardiac feature extraction from radar signals: Advances and challenges

Y Zhang, R Yang, Y Yue, EG Lim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Contactless cardiac monitoring has vast potential to replace contact-based monitoring in
various future scenarios, such as smart home and in-cabin monitoring. Various contactless …

RFGAN: RF-based human synthesis

C Yu, Z Wu, D Zhang, Z Lu, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper demonstrates human synthesis based on the Radio Frequency (RF) signals,
which leverages the fact that RF signals can record human movements with the signal …

Radar perception in autonomous driving: Exploring different data representations

S Yao, R Guan, Z Peng, C Xu, Y Shi, Y Yue… - arXiv preprint arXiv …, 2023 - arxiv.org
With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

Multi-person passive wifi indoor localization with intelligent reflecting surface

G Zhang, D Zhang, Y He, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The past years have witnessed increasing research interest in achieving passive human
localization with commodity WiFi devices. However, due to the fundamental limited spatial …

T-HSER: Transformer Network Enabling Heart Sound Envelope Signal Reconstruction Based on Low Sampling Rate Millimeter Wave Radar

H Zhao, Y Ma, Y Han, C Tian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The four stages (first heart sound (S1), systole, second heart sound (S2), and diastole) of
heartbeat sounds recorded by contact seismocardiogram (SCG) reflect the health of the …

RFPose-OT: RF-based 3D human pose estimation via optimal transport theory

C Yu, D Zhang, Z Wu, Z Lu, C Xie, Y Hu… - Frontiers of Information …, 2023 - Springer
This paper introduces a novel framework, ie, RFPose-OT, to enable three-dimensional (3D)
human pose estimation from radio frequency (RF) signals. Different from existing methods …

isense: Enabling radar sensing under mutual device interference

S Yang, D Zhang, Y Li, Y Hu, Q Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar has been widely used in wireless sensing due to its non-
contact nature, privacy preservation, and immunity to adverse lighting conditions. However …

RPM 2.0: RF-Based Pose Machines for Multi-Person 3D Pose Estimation

C Xie, D Zhang, Z Wu, C Yu, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Advanced human sensing technologies based on radio frequency (RF) signals have gained
widespread attention in recent years. However, due to the sparsity and incompleteness of …

Non-intrusive human vital sign detection using mmwave sensing technologies: A review

Y Wu, H Ni, C Mao, J Han, W Xu - ACM Transactions on Sensor …, 2023 - dl.acm.org
Non-invasive human vital sign detection has gained significant attention in recent years, with
its potential for contactless, long-term monitoring. Advances in radar systems have enabled …