Results 11 to 20 of about 1,458,515 (251)

Gait classification based on micro-Doppler features [PDF]

open access: yes2016 CIE International Conference on Radar (RADAR), 2016
This paper focuses on the classification of human gaits based on micro-Doppler signatures. The micro-Doppler signatures can represent detailed information about the human gaits, which helps in judging the threat of a personnel target. The proposed method consists of three major steps.
Yang, Le   +4 more
openaire   +3 more sources

Application of Micro-Doppler Signatures for Estimation of Total Energy Expenditure in Humans for Walking/Running Activities

open access: yesIEEE Access, 2016
We investigate the feasibility of estimating the total energy expenditure (TEE) of a human for walking/running activities with micro-Doppler signatures. Doppler radar can capture micro-Doppler signatures produced from limb motions when a human moves.
Youngwook Kim   +2 more
doaj   +3 more sources

Knowledge Exploitation for Human Micro-Doppler Classification

open access: yesIEEE Geoscience and Remote Sensing Letters, 2015
Micro-Doppler radar signatures have great potential for classifying pedestrians and animals, as well as their motion pattern, in a variety of surveillance applications. Due to the many degrees of freedom involved, real data need to be complemented with accurate simulated radar data to be able to successfully design and test radar signal processing ...
Sevgi Zübeyde Gürbüz   +2 more
exaly   +7 more sources

Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

open access: yesDrones, 2023
In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones.
Jun Yan   +4 more
doaj   +3 more sources

Features for micro-Doppler based activity classification

open access: yesIET Radar, Sonar and Navigation, 2015
Safety and security applications benefit from better situational awareness. Radar micro‐Doppler signatures from an observed target carry information about the target's activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro‐Doppler data ...
Gustaf Hendeby
exaly   +4 more sources

Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]

open access: yes, 2013
Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J.   +5 more
core   +5 more sources

An In-Shoe Laser Doppler Sensor for Assessing Plantar Blood Flow in the Diabetic Foot [PDF]

open access: yes
An in-shoe laser Doppler sensor for assessing plantar blood flow in the diabetic foot. Jonathan Edwin Cobb Plantar ulceration is a complication of the diabetic foot prevalent in adults with type 11 diabetes mellitus.
Cobb, Jonathan E.
core   +9 more sources

Micro-Doppler-Coded Drone Identification

open access: yes
The forthcoming era of massive drone delivery deployment in urban environments raises a need to develop reliable control and monitoring systems. While active solutions, i.e., wireless sharing of a real-time location between air traffic participants and control units, are of use, developing additional security layers is appealing.
Vovchuk, Dmytro   +7 more
openaire   +3 more sources

Synthesis of Micro-Doppler Signatures of Human Activities From Different Aspect Angles Using Generative Adversarial Networks

open access: yesIEEE Access, 2021
In this paper, we propose to produce synthesized micro-Doppler signatures from different aspect angles through conditional generative adversarial networks (cGANs).
Ibrahim Alnujaim   +3 more
doaj   +1 more source

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