Results 51 to 60 of about 18,906 (222)

Radar and RGB-depth sensors for fall detection: a review [PDF]

, 2017
This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea, Fioranelli, Francesco, Gambi, Ennio, Spinsante, Susanna   +3 more
core   +1 more source

Fourier independent component analysis of radar micro-Doppler features [PDF]

, 2017
The capability of discriminating radar targets exhibiting multiple moving parts has become of great interest for both aerospace and ground-based target recognition and analysis.
Addabbo, P., Clemente, C., Ullo, S. L.
core   +1 more source

Micro-Doppler feature extraction under passive radar based on orthogonal frequency division multiplexing communication signal

The Journal of Engineering, 2019
Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion
Xiao-yu Qu, Kai-ming Li, Qun Zhang, Bi-Shuai Liang   +3 more
doaj   +1 more source

Magnetic and radar sensing for multimodal remote health monitoring [PDF]

, 2019
With the increased life expectancy and rise in health conditions related to aging, there is a need for new technologies that can routinely monitor vulnerable people, identify their daily pattern of activities and any anomaly or critical events such as ...
Fioranelli, Francesco, Heidari, Hadi, Le Kernec, Julien, Li, Haobo, Shrestha, Aman   +4 more
core   +1 more source

Review of micro‐Doppler signatures

IET Radar, Sonar & Navigation, 2015
Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the target other than gross translation. The small micro‐motions of a subject, and even just parts of a subject, can be observed through the micro‐Doppler signature it creates in response to an active emitter such as a radar, laser, and even acoustic emitters.
openaire   +1 more source

Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]

, 2018
In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi, Fioranelli, Francesco, Griffiths, Hugh, Li, Gang   +3 more
core   +1 more source

Linear Discriminant Analysis-Based Motion Classification Using Distributed Micro-Doppler Radars with Limited Backhaul

Sensors, 2021
In this paper, we propose a cooperative linear discriminant analysis (LDA)-based motion classification algorithm for distributed micro-Doppler (MD) radars which are connected to a data fusion center through the limited backhaul.
Yonggi Hong, Yunji Yang, Jaehyun Park
doaj   +1 more source

Radar High Resolution Range & Micro-Doppler Analysis of Human Motions [PDF]

, 2009
In radar imaging it is well known that relative motion or deformation of parts of illuminated objects induce additional features in the Doppler frequency spectra.
Ghaleb, A., Le Kernec, J., Nicolas, J.-M., Vignaud, L.   +3 more
core  

Elastomeric Micro‐Balloons for Remote Control of Cerebral Blood Flow and Real‐Time In vivo Imaging of Rodent Brain Response to Hypoperfusion

Advanced Materials, EarlyView.
This study reports the fabrication of MRI‐compatible elastomeric micro‐balloons via a multi‐step bubble casting process, where the monolithic elastomeric wall is selectively stiffened for reversible and controlled inflation and elasticity, depending on the target vessels for graded occlusion of cerebral arteries.
Jong Bin Kim, Jinghui Wang, Yinding Chi, Jingxian Wu, Alicia Ng, Guanda Qiao, Honglin Tan, Miroslaw Janowski, Piotr Walczak, Yajie Liang, Shu Yang   +10 more
wiley   +1 more source

Personnel recognition based on multistatic micro-Doppler and singular value decomposition features [PDF]

, 2015
The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recognise and classify different people walking is discussed.
Fioranelli, F., Griffiths, H., Ritchie, M.   +2 more
core   +2 more sources