Accessibility settings

This paper is in the following e-collection/theme issue:

Digital Health Reviews (3683) Clinical Communication, Electronic Consultation and Telehealth (940) Augmentative and Alternative Communication (19) Biomedical Engineering Reviews (44) Artificial Intelligence (4809) Registered Report (1545) Hearing Impairment and Hearing Loss (101)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70417, first published .
Diagram showing sign language recognition system: data acquisition, feature extraction, ML, and sign recognition for accessible communication.

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems

Authors of this article:

Milena Soriano Marcolino1, 2, 3 Author Orcid Image ;   Lucca Fagundes Ramos de Oliveira2, 4 Author Orcid Image ;   Lucas Rocha Valle1, 2 Author Orcid Image ;   Luiza Marinho Motta Santa Rosa2, 5 Author Orcid Image ;   Gabriela Teodora de Souza Sanches1, 2 Author Orcid Image ;   Natalia Sales Santos6 Author Orcid Image ;   Michelle Ralil da Costa3 Author Orcid Image ;   Elidea Lucia Almeida Bernardino7 Author Orcid Image ;   Raniere Alislan Almeida Cordeiro7 Author Orcid Image ;   Raquel Oliveira Prates6 Author Orcid Image ;   Zilma Silveira Nogueira Reis1 Author Orcid Image ;   Mario Fernando Montenegro Campos6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Marcolino M, Rosa L, Bernardino E, Campos M. On the Design of a Sign Language Corpus of Medical Terms for Automatic Translation Systems: Mixed Methods Approach. JMIR Human Factors 2026;13:e72789 View
  2. Inyang S, Udo I, Umoren I, Inyang A, Njoku F. <p>Real-Time Sign Language Recognition System for Enhancing Emergency Response Among Hearing-Impaired Patients</p> <p> </p>. Cureus Journal of Computer Science 2026 View