Evidence map›Paper›PMID 32093062›Full record

ArticleSensors (Basel, Switzerland)2020

Quantifying Physical Activity in Young Children Using a Three-Dimensional Camera.

Aston K McCullough, Melanie Rodriguez, Carol Ewing Garber

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Aston K McCulloughDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA.
Melanie RodriguezDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA.
Carol Ewing GarberDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA.
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to determine the feasibility and validity of using three-dimensional (3D) video data and computer vision to estimate physical activity intensities in young children. Families with children (2-5-years-old) were invited to participate in semi-structured 20-minute play sessions that included a range of indoor play activities. During the play session, children's physical activity (PA) was recorded using a 3D camera. PA video data were analyzed via direct observation, and 3D PA video data were processed and converted into triaxial PA accelerations using computer vision. PA video data from children (

Indexed as

Imaging, Three-DimensionalAlgorithmsChildChild, PreschoolExerciseFemaleHumansImage Processing, Computer-AssistedInfrared RaysMalePhotographySignal Processing, Computer-AssistedTime FactorsVideo Recordingalgorithmscomputer vision systemsmachine learningplay

Identifiers

PMID32093062
PMCPMC7071428
OpenAlexW3007809444

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.