Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet

Sign Language recognition systems aid communication among deaf people, hearing impaired people, and speakers. One of the types of signals that has seen increased studies and that can be used as input for these systems is surface electromyography (sEMG). This work presents the recognition of a set of...

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Detalles Bibliográficos
Autores principales: Mendes Junior, José Jair Alves, Freitas, Melissa La Banca, Campos, Daniel Prado, Farinelli, Felipe Adalberto, Stevan, Sergio Luiz, Pichorim, Sérgio Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471999/
https://www.ncbi.nlm.nih.gov/pubmed/32764286
http://dx.doi.org/10.3390/s20164359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471999/
https://www.ncbi.nlm.nih.gov/pubmed/32764286
http://dx.doi.org/10.3390/s20164359

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