Evidence map›Paper›PMID 37765987›Full record

ArticleSensors (Basel, Switzerland)2023

EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory-Visual Statistics and Autonomic Nervous System Function 'in the Wild'.

Elena Geangu, William A P Smith, Harry T Mason, Astrid Priscilla Martinez-Cedillo, David Hunter, Marina I Knight, Haipeng Liang, Maria Del Carmen Garcia de Soria Bazan, Zion Tsz Ho Tse, Thomas Rowland and 8 more

Open access · goldAbstract 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. 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

18 authors at 3 institutions in 1 country.

Elena GeanguPsychology Department, University of York, York YO10 5DD, UK.
William A P SmithDepartment of Computer Science, University of York, York YO10 5DD, UK.
Harry T MasonSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.ORCID 0000-0002-3464-7254
Astrid Priscilla Martinez-CedilloPsychology Department, University of York, York YO10 5DD, UK.ORCID 0000-0001-7327-3614
David HunterSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.
Marina I KnightDepartment of Mathematics, University of York, York YO10 5DD, UK.ORCID 0000-0001-9926-6092
Haipeng LiangSchool of Engineering and Materials Science, Queen Mary University of London, London E1 2AT, UK.ORCID 0000-0002-9727-0626
Maria Del Carmen Garcia de Soria BazanPsychology Department, University of York, York YO10 5DD, UK.
Zion Tsz Ho TseSchool of Engineering and Materials Science, Queen Mary University of London, London E1 2AT, UK.
Thomas RowlandProtolabs, Halesfield 8, Telford TF7 4QN, UK.
Dom CorpuzProtolabs, Halesfield 8, Telford TF7 4QN, UK.
Josh HunterDepartment of Computer Science, University of York, York YO10 5DD, UK.ORCID 0000-0002-6828-974X
Nishant SinghSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.
Quoc C VuongBiosciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
Mona Ragab Sayed AbdelgayedDepartment of Computer Science, University of York, York YO10 5DD, UK.
David R MullineauxDepartment of Mathematics, University of York, York YO10 5DD, UK.
Stephen SmithSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.
Bruce R MullerDepartment of Computer Science, University of York, York YO10 5DD, UK.ORCID 0000-0003-3682-9032
University of York · GBQueen Mary University of London · GBNewcastle University · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

There have been sustained efforts toward using naturalistic methods in developmental science to measure infant behaviors in the real world from an egocentric perspective because statistical regularities in the environment can shape and be shaped by the developing infant. However, there is no user-friendly and unobtrusive technology to densely and reliably sample life in the wild. To address this gap, we present the design, implementation and validation of the EgoActive platform, which addresses limitations of existing wearable technologies for developmental research. EgoActive records the active infants' egocentric perspective of the world via a miniature wireless head-mounted camera concurrently with their physiological responses to this input via a lightweight, wireless ECG/acceleration sensor. We also provide software tools to facilitate data analyses. Our validation studies showed that the cameras and body sensors performed well. Families also reported that the platform was comfortable, easy to use and operate, and did not interfere with daily activities. The synchronized multimodal data from the EgoActive platform can help tease apart complex processes that are important for child development to further our understanding of areas ranging from executive function to emotion processing and social learning.

Indexed as

Wearable Electronic DevicesAutonomic Nervous SystemChildHumansInfantSoftwareTechnologybody movementchildECGegocentric viewhead-mounted camerainfantmultimodal measuresnaturalistic research methodsreal-world big datawearable sensors

Identifiers

PMID37765987
PMCPMC10534696
OpenAlexW4386833333

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.