Results 61 to 70 of about 18,380 (225)

Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems [PDF]

, 2016
The potential for using micro-Doppler signatures as a basis for distinguishing between aided and unaided gaits is considered in this paper for the purpose of characterizing normal elderly gait and assessment of patient recovery.
Balleri, Alessio, Clemente, Carmine, Gurbuz, Sevgi Zubeyde, Soraghan, John J.   +3 more
core   +1 more source

Wearable Data‐Driven Transformer Model for Physical Load Assessment in Badminton Training

Engineering Reports, Volume 8, Issue 3, March 2026.
Through multi‐dimensional data fusion and innovative network architecture, the management from data collection to physical fitness evaluation is realized. ABSTRACT This study focuses on capturing the physiological state and action characteristics of badminton players in the high‐intensity and fast‐changing sports scene.
Manling Sun
wiley   +1 more source

Three‐dimensional Doppler‐associated radar imaging method based on bi‐directional data processing

IET Radar, Sonar & Navigation, 2022
Using a microwave or millimetre wave radar system, this study aims to achieve highly accurate Doppler velocity estimation and radar imaging that would be suitable for various remote‐sensing sensors, such as self‐driving, surveillance, or security ...
Takumi Hayashi, Takeru Ando, Shouhei Kidera   +2 more
doaj   +1 more source

Impact of Peri‐Implant Phenotype on Implant Therapy Outcomes: A 5‐Year Cohort Analysis on Soft Tissue—Level Implants

Journal of Clinical Periodontology, Volume 53, Issue 3, Page 394-406, March 2026.
ABSTRACT Objective To investigate the associations between peri‐implant phenotype characteristics and long‐term outcomes of soft tissue–level implants. Methods Twenty‐five tissue‐level implants from a previous controlled clinical trial were evaluated at 1‐ and 5‐year follow‐ups after crown delivery.
Hamoun Sabri, Parham Hazrati, Lorenzo Tavelli, Carlos Garaicoa‐Pazmino, Javier Calatrava, Hom‐Lay Wang, Shayan Barootchi   +6 more
wiley   +1 more source

Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network

IEEE Access, 2016
In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN).
Youngwook Kim, Brian Toomajian
doaj   +1 more source

A High‐Precision Crop Water Footprint Quantification Framework Based on Data Assimilation

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management.
Ting Bai, Shikun Sun, Yali Yin, Dongmei Zhao, Hao Dong, Jing Xue, Jinfeng Zhao, Yubao Wang, Pute Wu   +8 more
wiley   +1 more source

Human Motion Recognition With Limited Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2021
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing, Alexander Yarovoy, Yang Yang 0045   +5 more
openaire   +4 more sources

Aerosol‐Cloud Interactions: Overcoming a Barrier to Projecting Near‐Term Climate Evolution and Risk

AGU Advances, Volume 7, Issue 1, February 2026.
Abstract Aerosol‐cloud interactions (ACI) are a major source of uncertainty in climate science, critically affecting our ability to project near‐term climate evolution and assess societal risks. These interactions influence effective radiative forcing, cloud dynamics, and precipitation patterns, yet remain insufficiently constrained due to limitations ...
Ulas Im, Bjørn H. Samset, Athanasios Nenes, Jennie L. Thomas, Harri Kokkola, Oleg Dubovik, Vassilis Amiridis, Antti Arola, Nicolas Bellouin, Angela Benedetti, Merete Bilde, Sara Blichner, Stefano Decesari, Annica M. L. Ekman, Carlos Pérez García‐Pando, Silke Gross, Edward Gryspeerdt, Otto Hasekamp, Ralph A. Kahn, Anton Laakso, Ulrike Lohmann, Louis Marelle, Andreas H. Massling, Cathrine Lund Myhre, Mira Pöhlker, Johannes Quaas, Tomi Raatikainen, Ilona Riipinen, Julia Schmale, Patric Seifert, Henrik Skov, Chris Smith, Moa K. Sporre, Philip Stier, Trude Storelvmo, Kostas Tsigaridis, Bastiaan van Diedenhoven, Annele Virtanen, Ulla Wandinger, Laura J. Wilcox, Paul Zieger   +40 more
wiley   +1 more source

Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

Journal of Electrical and Computer Engineering, 2015
When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang, Zhen-miao Deng, Yi-shan Ye, Yi-xiong Zhang, Yan-yong Chen   +4 more
doaj   +1 more source

Real Heights of SuperDARN F Region Echoes Inferred From Electron Density Measurements by the Rankin Inlet and RISR‐C Radars

Radio Science, Volume 61, Issue 2, February 2026.
Abstract This study is one of the first attempts to estimate statistically the real height of SuperDARN F region echoes in the polar cap. To achieve this, measurements of the electron density in the scattering volume of the Rankin Inlet SuperDARN radar are compared with the electron density profiles measured by the incoherent scatter radar RISR‐C ...
Alexander V. Koustov, Mehdi Ghalamkarian Nejad, Hayden Fast, Pavlo V. Ponomarenko   +3 more
wiley   +1 more source