Evidence map›Paper›PMID 37998082›Full record

ArticleJournal of imaging2023

Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards (

Telmo Adão, João Oliveira, Somayeh Shahrabadi, Hugo Jesus, Marco Fernandes, Ângelo Costa, Vânia Ferreira, Martinho Fradeira Gonçalves, Miguel A Guevara Lopéz, Emanuel Peres and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

11 authors.

Telmo AdãoDepartment of Engineering, School of Sciences and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.ORCID 0000-0002-2727-0014
João OliveiraCentro de Computação Gráfica-CCG/zgdv, University of Minho, Campus de Azurém, Edifício 14, 4800-058 Guimarães, Portugal.
Somayeh ShahrabadiCentro de Computação Gráfica-CCG/zgdv, University of Minho, Campus de Azurém, Edifício 14, 4800-058 Guimarães, Portugal.
Hugo JesusCentro de Computação Gráfica-CCG/zgdv, University of Minho, Campus de Azurém, Edifício 14, 4800-058 Guimarães, Portugal.
Marco FernandesPolytechnic Institute of Bragança, School of Communication, Administration and Tourism, Campus do Cruzeiro, 5370-202 Mirandela, Portugal.
Ângelo CostaAssociação Portuguesa de Surdos (APS), 1600-796 Lisboa, Portugal.
Vânia FerreiraAssociação Portuguesa de Surdos (APS), 1600-796 Lisboa, Portugal.
Martinho Fradeira GonçalvesPolytechnic Institute of Bragança, School of Communication, Administration and Tourism, Campus do Cruzeiro, 5370-202 Mirandela, Portugal.
Miguel A Guevara LopézALGORITMI Research Centre/LASI, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0001-7814-1653
Emanuel PeresDepartment of Engineering, School of Sciences and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.ORCID 0000-0001-5669-7976
Luís Gonzaga MagalhãesALGORITMI Research Centre/LASI, University of Minho, 4800-058 Guimarães, Portugal.

Funding

Portugal 2020, under the Competitiveness and Internationalization Operational Program (POCI), and by the European Regional Development Fund (ERDF) POCI-01-0247-FEDER-068605Vine&Wine Portugal Project, co-financed by the RRP - Recovery and Resilience Plan and the Eu-ropean NextGeneration EU Funds C644866286-00000011
6 · The paper itself

Abstract

Communication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist, such as cross-platform interoperability and strategies for tokenizing signs to enable continuous conversations and coherent sentence construction. To address such issues, this paper proposes a non-invasive Portuguese Sign Language (

Indexed as

deaf-hearing communicationgenerative pre-trained transformer (GPT)inclusionlarge language models (LLM)long-short term memory (LSTM)machine learning (ML)Portuguese Sign Languagesign language recognition (SLR)video-based motion analytics

Identifiers

PMID37998082
PMCPMC10672430

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.