Results 41 to 50 of about 79 (69)

SRCNN: Stacked-Residual Convolutional Neural Network for Improving Human Activity Classification Based on Micro-Doppler Signatures of FMCW Radar [PDF]

Journal of Electromagnetic Engineering and Science
Current methods for daily human activity classification primarily rely on optical images from cameras or wearable sensors. Despite their high detection reliability, camera-based approaches suffer from several drawbacks, such as low-light conditions ...
NgocBinh Nguyen, Van-Sang Doan, MinhNghia Pham, VanNhu Le   +3 more
doaj   +1 more source

Enhancement of Drone ISAR Imaging Through Isolation and Suppression of Micro-Doppler Effects

IEEE Access
Increasing concerns over the use of drones for military or hostile purposes have intensified the demand for effective detection and countermeasures. Although conventional acoustic, thermal, and optical sensors have been extensively explored, active radar
Kyoung-Min Song, Woo-Kyung Lee
doaj   +1 more source

A New Method for Traffic Participant Recognition Using Doppler Radar Signature and Convolutional Neural Networks

Sensors
The latest survey results show an increase in accidents on the roads involving pedestrians and cyclists. The reasons for such situations are many, the fault actually lies on both sides.
Błażej Ślesicki, Anna Ślesicka
doaj   +1 more source

Estimation of Compression Depth During CPR Using FMCW Radar with Deep Convolutional Neural Network

Sensors
Effective Cardiopulmonary Resuscitation (CPR) requires precise chest compression depth, but current out-of-hospital monitoring technologies face limitations.
Insoo Choi, Stephen Gyung Won Lee, Hyoun-Joong Kong, Ki Jeong Hong, Youngwook Kim   +4 more
doaj   +1 more source

Human Anomalous Gait Termination Recognition via Through-the-wall Radar Based on Micro-Doppler Corner Features and Non-Local Mechanism

Leida xuebao
Through-the-wall radar can penetrate walls and realize indoor human target detection. Deep learning is commonly used to extract the micro-Doppler signature of a target, which can be used to effectively identify human activities behind obstacles. However,
Xiaopeng YANG, Weicheng GAO, Xiaodong QU
doaj   +1 more source

Three-Dimensional Human Pose Estimation from Micro-Doppler Signature Based on SISO UWB Radar

Remote Sensing
In this paper, we propose an innovative approach for transforming 2D human pose estimation into 3D models using Single Input–Single Output (SISO) Ultra-Wideband (UWB) radar technology.
Xiaolong Zhou, Tian Jin, Yongpeng Dai, Yongping Song, Kemeng Li   +4 more
doaj   +1 more source

Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm

IEEE Access
Radar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics ...
Ruoyu He, Masaki Kurosawa, Guanghao Sun
doaj   +1 more source

Hand Gesture Recognition Using FSK Radar Sensors

Sensors
Hand gesture recognition, which is one of the fields of human–computer interaction (HCI) research, extracts the user’s pattern using sensors. Radio detection and ranging (RADAR) sensors are robust under severe environments and convenient to use for hand ...
Kimoon Yang, Minji Kim, Yunho Jung, Seongjoo Lee   +3 more
doaj   +1 more source

Bending-Aware Spectrogram Correlation for W-Band Quadcopter Detection: A Physics-Informed Non-Coherent Detection Framework

Sensors
Small multi-rotor UAVs are difficult radar targets: their radar cross-section is low and aspect-dependent, and their slow body motion overlaps with birds and clutter in Doppler processing. We address W-band (94 GHz) detection with a physics-informed, non-
Yael Balal, Natan Steinmetz, Arie Sherenzon, Nezah Balal   +3 more
doaj   +1 more source