Evidence map›Paper›PMID 38931537›Full record

ArticleSensors (Basel, Switzerland)2024

Artificial Vision System on Digital Devices for Real-Time Head Tilt Control.

Miguel Ángel Tomé de la Torre, Antonio Álvarez Fernández-Balbuena, Ricardo Bernárdez-Vilaboa, Daniel Vázquez Molini

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Miguel Ángel Tomé de la TorreOptics II (Optometry and Vision), Faculty of Optics and Optometry, Complutense University, 28037 Madrid, Spain.ORCID 0000-0001-6045-3181
Antonio Álvarez Fernández-BalbuenaOptics Department, Faculty of Optics and Optometry, Complutense University, 28037 Madrid, Spain.ORCID 0000-0001-8020-3892
Ricardo Bernárdez-VilaboaOptics II (Optometry and Vision), Faculty of Optics and Optometry, Complutense University, 28037 Madrid, Spain.ORCID 0000-0002-0998-6430
Daniel Vázquez MoliniOptics Department, Faculty of Optics and Optometry, Complutense University, 28037 Madrid, Spain.

Funding

Ministerio de Ciencia, Innovación y Universidades PID2022-138061OB-I00
6 · The paper itself

Abstract

It is common to see cases in which, when performing tasks in close vision in front of a digital screen, the posture or position of the head is not adequate, especially in young people; it is essential to have a correct posture of the head to avoid visual, muscular, or joint problems. Most of the current systems to control head inclination require an external part attached to the subject's head. The aim of this study is the validation of a procedure that, through a detection algorithm and eye tracking, can control the correct position of the head in real time when subjects are in front of a digital device. The system only needs a digital device with a CCD receiver and downloadable software through which we can detect the inclination of the head, indicating if a bad posture is adopted due to a visual problem or simply inadequate visual-postural habits, alerting us to the postural anomaly to correct it.The system was evaluated in subjects with disparate interpupillary distances, at different working distances in front of the digital device, and at each distance, different tilt angles were evaluated. The system evaluated favorably in different lighting environments, correctly detecting the subjects' pupils. The results showed that for most of the variables, particularly good absolute and relative reliability values were found when measuring head tilt with lower accuracy than most of the existing systems. The evaluated results have been positive, making it a considerably inexpensive and easily affordable system for all users. It is the first application capable of measuring the head tilt of the subject at their working or reading distance in real time by tracking their eyes.

Indexed as

AlgorithmsHeadPostureAdultArtificial IntelligenceFemaleHumansMaleSoftwareaccommodative anomaliesalgorithmartificial visionbinocular anomalieseye trackingimage processing softwarevisio-postural control

Identifiers

PMID38931537
PMCPMC11207385

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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.