Evidence map›Paper›PMID 37050520›Full record

ArticleSensors (Basel, Switzerland)2023

System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera.

Tomasz Krzeszowski, Bartosz Dziadek, Cíntia França, Francisco Martins, Élvio Rúbio Gouveia, Krzysztof Przednowek

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Tomasz KrzeszowskiFaculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszów, Poland.ORCID 0000-0001-7359-4637
Bartosz DziadekInstitute of Physical Culture Sciences, Medical College of Rzeszów University, 35-959 Rzeszów, Poland.ORCID 0000-0001-5368-0159
Cíntia FrançaDepartment of Physical Education and Sport, University of Madeira, 9020-105 Funchal, Portugal.ORCID 0000-0001-8364-6832
Francisco MartinsDepartment of Physical Education and Sport, University of Madeira, 9020-105 Funchal, Portugal.ORCID 0000-0003-4838-4931
Élvio Rúbio GouveiaDepartment of Physical Education and Sport, University of Madeira, 9020-105 Funchal, Portugal.ORCID 0000-0003-0927-692X
Krzysztof PrzednowekInstitute of Physical Culture Sciences, Medical College of Rzeszów University, 35-959 Rzeszów, Poland.ORCID 0000-0002-2128-4116

Funding

Subcarpatian Center for Innovation (Podkarpackie Centrum Innowacyjności - PCI), Teofila Lenartowicza 4 Street, 35-051 Rzeszów, Poland N3_60 11/PRZ/1/DG/PCI/2019
6 · The paper itself

Abstract

Anthropometric measurements of the human body are an important problem that affects many aspects of human life. However, anthropometric measurement often requires the application of an appropriate measurement procedure and the use of specialized, sometimes expensive measurement tools. Sometimes the measurement procedure is complicated, time-consuming, and requires properly trained personnel. This study aimed to develop a system for estimating human anthropometric parameters based on a three-dimensional scan of the complete body made with an inexpensive depth camera in the form of the Kinect v2 sensor. The research included 129 men aged 18 to 28. The developed system consists of a rotating platform, a depth sensor (Kinect v2), and a PC computer that was used to record 3D data, and to estimate individual anthropometric parameters. Experimental studies have shown that the precision of the proposed system for a significant part of the parameters is satisfactory. The largest error was found in the waist circumference parameter. The results obtained confirm that this method can be used in anthropometric measurements.

Indexed as

AnthropometryBiomechanical PhenomenaHumansMale3D human model3D modeldepth sensorhuman anthropometric parametersKinect v2

Identifiers

PMID37050520
PMCPMC10098791

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Registered trials

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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.