Evidence map›Paper›PMID 42356616›Full record

ArticleSensors (Basel, Switzerland)2026

SignBridge Bilingual Sign Language Avatar-Construction Principles and Experts Quality Assessment.

Nurzada Amangeldy, Marek Milosz, Aigerim Yerimbetova, Nazira Tursynova, Bekbolat Kurmetbek, Nazerke Gazizova

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Nurzada AmangeldyInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0000-0002-4669-9254
Marek MiloszInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0000-0002-5898-815X
Aigerim YerimbetovaInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0000-0002-2013-1513
Nazira TursynovaInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0000-0002-1857-9028
Bekbolat KurmetbekInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0009-0001-7510-2445
Nazerke GazizovaInstitute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Almaty 050000, Kazakhstan.ORCID 0009-0007-7278-4202

Funding

Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan BR24992875
6 · The paper itself

Abstract

The multilingualism found in many countries, as well as within professional groups, complicates verbal communication, as both communicating parties are required to know all the languages used. This problem is exacerbated by the fact that languages are often mixed during communication. Avatars can be used to communicate with deaf people by simulating the behavior of sign language users. This paper presents a digital sign language avatar built on a language-agnostic, multimodal animation pipeline that decouples linguistic input from animation, combining skeletal body and hand motion with facial blendshape animation as independent modalities. It also presents a methodology for assessing its quality with the participation of experts (i.e., professional sign language interpreters) and the corresponding research results. The average quality rating of the avatar interface by the experts was 5.5 on a 7-point Likert scale, indicating its potential for practical use. At the same time, the research identified opportunities to improve the naturalness of movement and the consistency of gesture transitions.

Indexed as

AvatarMultilingualismSign LanguageGesturesHumansUser-Computer Interfaceavatarmultilingualismquality evaluationsign language

Identifiers

PMID42356616
PMCPMC13306330

What OpenQuestion holds

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LicenceCC BY
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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.