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...
Main Authors: | José Jair Alves Mendes Junior, Melissa La Banca Freitas, Daniel Prado Campos, Felipe Adalberto Farinelli, Sergio Luiz Stevan, Sérgio Francisco Pichorim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/16/4359 |
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