Results 51 to 60 of about 1,695 (159)

Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.

PLoS ONE, 2023
BackgroundBeyond causing significant morbidity and cost, musculoskeletal injuries (MSKI) are among the most common reasons for primary care visits. A validated injury risk assessment tool for MSKI is conspicuously absent from current care.
Bilal Abou Al Ardat, Jennifer Nyland, Robert Creath, Terrence Murphy, Ram Narayanan, Cayce Onks   +5 more
doaj   +1 more source

Bistatic human micro-Doppler signatures for classification of indoor activities [PDF]

2017 IEEE Radar Conference (RadarConf), 2017
This paper presents the analysis of human micro- Doppler signatures collected by a bistatic radar system to classify different indoor activities. Tools for automatic classification of different activities will enable the implementation and deployment of systems for monitoring life patterns of people and identifying fall events or anomalies which may be
Fioranelli, Francesco, Ritchie, Matthew, Griffiths, Hugh   +2 more
openaire   +2 more sources

Optimization-Based Discontinuous Observation Strategy for Micro-Doppler Signature Extraction of Space Cone Targets

IEEE Access, 2019
In order to obtain relatively complete micro-Doppler (m-D) signatures of space precession cone targets, at least one precession period of dwell time is always required.
Yuchun Shi, Bo Jiu, Hongwei Liu
doaj   +1 more source

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

Generation of Human Micro-Doppler Signature Based on Layer-Reduced Deep Convolutional Generative Adversarial Network. [PDF]

Comput Intell Neurosci, 2022
Ostovan M, Samadi S, Kazemi A.
europepmc   +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

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

Radar UAV and bird signature comparisons with micro-Doppler [PDF]

, 2021
Ritchie, M, Peters, N, Horne, C
openaire   +2 more sources