Results 71 to 80 of about 1,902,052 (207)
Human Motion Recognition With Limited Radar Micro-Doppler Signatures
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 +5 more
openaire +4 more sources
Abstract The labor care guide (LCG) is a new tool for monitoring labor, introduced to replace the partograph, which had been used improperly and inconsistently across various contexts. Early research suggests that healthcare practitioners view the LCG as a tool that enhances the quality of care during labor and delivery.
Amalia N. N. Ilonga +1 more
wiley +1 more source
This paper proposes a novel drone detection method based on a convolutional neural network (CNN) utilizing range–Doppler map images from a frequency-modulated continuous-wave (FMCW) radar. The existing drone detection and identification techniques, which
Seung-Kyu Han +2 more
doaj +1 more source
Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities ...
Muhammad Muaaz +2 more
doaj +1 more source
Renal screening sonography—A comparative study in a Portuguese basic emergency service
Renal sonography screening aids in clinical decision‐making for patients with suspected renal colic. This study intends to compare the accuracy and pertinence of sonographic findings obtained by a sonographer in a Basic Emergency Service (BES) with that of radiologists at Referral Hospital (RH) in Portugal. Renal sonography screening was able to detect
Sérgio Miravent +9 more
wiley +1 more source
A high-resolution three-dimensional (3D) image reconstruction method for a spinning target is proposed in this paper and the anisotropy is overcome by fusing different observation information acquired from the radar network.
Xiao-wen Liu +4 more
doaj +1 more source
Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes
Hand and arm gesture recognition using radio frequency (RF) sensing modality proves valuable in man−machine interfaces and smart environments. In this paper, we use the time-series analysis method to accurately measure the similarity of the micro ...
Zhengxin Zeng +2 more
doaj +1 more source
Bistatic human micro-Doppler signatures for classification of indoor activities [PDF]
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 +2 more
openaire +2 more sources
A luminescent PEI/Cy5‐citrate‐functionalized carbonated apatite nanoplatform combines biocompatibility, plasmid delivery, and Cy5‐based traceability. The system enables effective in vitro gene delivery while preserving cell viability and allows real‐time in vivo fluorescence tracking of the nanocarrier.
Laura Garrido Martín +5 more
wiley +1 more source

