A comprehensive overview on uwb radar: Applications, standards, signal processing techniques, datasets, radio chips, trends and future research directions

M Cheraghinia, A Shahid, S Luchie… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to their large bandwidth, relatively low cost, and robust performance, uwb radio chips
can be used for a wide variety of applications, including localization, communication, and …

False-alarm-controllable radar detection for marine target based on multi features fusion via CNNs

X Chen, N Su, Y Huang, J Guan - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Due to the influence of the complex marine environment, the marine target detection based
on statistical theory is difficult to achieve high-performance. Moreover, due to various targets' …

Real-time people tracking and identification from sparse mm-wave radar point-clouds

J Pegoraro, M Rossi - IEEE Access, 2021 - ieeexplore.ieee.org
Mm-wave radars have recently gathered significant attention as a means to track human
movement and identify subjects from their gait characteristics. A widely adopted method to …

Multiperson continuous tracking and identification from mm-wave micro-Doppler signatures

J Pegoraro, F Meneghello… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this work, we investigate the use of backscattered mm-wave radio signals for the joint
tracking and recognition of identities of humans as they move within indoor environments …

Person reidentification based on automotive radar point clouds

Y Cheng, Y Liu - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Person reidentification (ReID) systems play a key role in intelligent visual surveillance
systems and have widespread applications, for example, in public security. Usually, person …

Robust gait recognition based on deep CNNs with camera and radar sensor fusion

Y Shi, L Du, X Chen, X Liao, Z Yu, Z Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …

GaitCube: Deep data cube learning for human recognition with millimeter-wave radio

MZ Ozturk, C Wu, B Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Monitoring and identifying gait has recently emerged as a promising solution candidate for
unobtrusive human recognition. In order to enable ubiquitous and reliable application, a gait …

[HTML][HTML] WiFi-Based Human Identification with Machine Learning: A Comprehensive Survey

M Mosharaf, JB Kwak, W Choi - Sensors, 2024 - mdpi.com
In the modern world of human–computer interaction, notable advancements in human
identification have been achieved across fields like healthcare, academia, security, etc …

Omnidirectional motion classification with monostatic radar system using micro-Doppler signatures

Y Yang, C Hou, Y Lang, T Sakamoto… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In remote sensing, micro-Doppler signatures are widely used in moving target detection and
automatic target recognition. However, since Doppler signatures are easily affected by the …

Gait-based person identification and intruder detection using mm-wave sensing in multi-person scenario

Z Ni, B Huang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Using mm-wave sensing to identify persons by the way they walk has recently emerged as a
promising solution of biometrics, and has found versatile applications in security …