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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 12, 2023
Date Accepted: Jun 12, 2024

The final, peer-reviewed published version of this preprint can be found here:

Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review

Marcolino MS, Oliveira LFR, Valle LR, Rosa LMMS, Reis ZSN, Soares TBdC, Bernardino ELA, Prates RO, Campos MFM

Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review

JMIR Res Protoc 2025;14:e55427

DOI: 10.2196/55427

PMID: 39847417

PMCID: 11803331

Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review

  • Milena Soriano Marcolino; 
  • Lucca Fagundes Ramos Oliveira; 
  • Lucas Rocha Valle; 
  • Luiza Marinho Motta Santa Rosa; 
  • Zilma Silveira Nogueira Reis; 
  • Thiago Barbabela de Castro Soares; 
  • Elidéa Lúcia Almeida Bernardino; 
  • Raquel Oliveira Prates; 
  • Mario Fernando Montenegro Campos

ABSTRACT

Background:

Individuals with hearing impairments may face hindrances in healthcare assistance, which may significantly impact the prognosis and the incidence of complications and iatrogenic events. Therefore, the development of automatic communication systems to enable interaction between this population and healthcare workers is paramount.

Objective:

This study aims to systematically review the evidence on the communication systems developed for deaf people, to be used in a healthcare context, and tested with human users.

Methods:

A systematic review, based on a literature search in Medline, Web of Science, Association for Computing Machinery (ACM) and Institute of Electrical and Electronic Engineers (IEEE) Xplore as well as top tiered conferences in the area was performed to identify relevant studies. The inclusion criteria were the description of the development of a sign language recognition system in a healthcare context and the testing with human users. Eligible studies will be screened by two independent investigators and disagreements will be solved by a senior researcher. The included papers will undergo full-text screening.

Results:

The systematic review is still in the selection phase of articles of interest.

Conclusions:

This systematic review will identify human machine systems that enable communication in health services involving deaf patients, presenting the framework that includes usability and application in human contexts. We will show a panel of our findings illustrating systems employed to address communication barriers and describe current implementation practices in a narrative comparison. Clinical Trial: Open Science Framework - https://doi.org/10.17605/OSF.IO/FPEMR


 Citation

Please cite as:

Marcolino MS, Oliveira LFR, Valle LR, Rosa LMMS, Reis ZSN, Soares TBdC, Bernardino ELA, Prates RO, Campos MFM

Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review

JMIR Res Protoc 2025;14:e55427

DOI: 10.2196/55427

PMID: 39847417

PMCID: 11803331

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