Evidence map›Paper›PMID 36850555›Full record

ArticleSensors (Basel, Switzerland)2023

UWB Sensing for UAV and Human Comparative Movement Characterization.

Angela Digulescu, Cristina Despina-Stoian, Florin Popescu, Denis Stanescu, Dragos Nastasiu, Dragos Sburlan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Angela DigulescuDepartment of Communications and Information Technology, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.
Cristina Despina-StoianDepartment of Communications and Information Technology, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.ORCID 0000-0003-1132-8741
Florin PopescuDepartment of Communications and Information Technology, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.
Denis StanescuDepartment of Communications and Information Technology, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.ORCID 0000-0001-5138-9843
Dragos NastasiuDepartment of Communications and Information Technology, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.
Dragos SburlanFaculty of Mathematics and Informatics, Ovidius University of Constanta, 900527 Constanta, Romania.ORCID 0000-0003-3158-0557

Funding

IDENEO 29/SOL2021
6 · The paper itself

Abstract

Nowadays, unmanned aerial vehicles/drones are involved in a continuously growing number of security incidents. Therefore, the research interest in drone versus human movement detection and characterization is justified by the fact that such devices represent a potential threat for indoor/office intrusion, while normally, a human presence is allowed after passing several security points. Our paper comparatively characterizes the movement of a drone and a human in an indoor environment. The movement map was obtained using advanced signal processing methods such as wavelet transform and the phase diagram concept, and applied to the signal acquired from UWB sensors.

Indexed as

MovementSignal Processing, Computer-AssistedHumansUnmanned Aerial DevicesWavelet AnalysisLSS UAVmovement mapphase diagram entropyUWB sensing

Identifiers

PMID36850555
PMCPMC9963829

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.