Your browser doesn't support javascript.
loading
Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet.
Mendes Junior, José Jair Alves; Freitas, Melissa La Banca; Campos, Daniel Prado; Farinelli, Felipe Adalberto; Stevan, Sergio Luiz; Pichorim, Sérgio Francisco.
Affiliation
  • Mendes Junior JJA; Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba (PR) 80230-901, Brazil.
  • Freitas MB; Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology-Paraná (UTFPR), Ponta Grossa (PR) 84017-220, Brazil.
  • Campos DP; Graduate Program in Biomedical Engineering (PPGEB), Federal University of Technology-Paraná (UTFPR), Curitiba (PR) 80230-901, Brazil.
  • Farinelli FA; Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba (PR) 80230-901, Brazil.
  • Stevan SL; Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology-Paraná (UTFPR), Ponta Grossa (PR) 84017-220, Brazil.
  • Pichorim SF; Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba (PR) 80230-901, Brazil.
Sensors (Basel) ; 20(16)2020 Aug 05.
Article in En | MEDLINE | ID: mdl-32764286
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sign Language / Pattern Recognition, Automated Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Brazil Country of publication: Switzerland
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sign Language / Pattern Recognition, Automated Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Brazil Country of publication: Switzerland