Abstract: Taking into account that in Peru, there is an increase in people with difficulties in speaking or communicating. According to the National Institute of Statistics and Informatics of Peru (INEI for its acronym in Spanish), around 80000 people use the gesturing language. For this reason, this research proposes to use the electromyography (EMG) signals to detect the hand movement and identify the alphabet of the sign language to provide essential communication to people who need it. The idea is to classify the signals and recognize the letters of the Spanish alphabet, interpreted in the Peruvian sign language. The results show the classification of the 27 letters of the alphabet with a general success rate of 93.9%.

Alvarado-Diaz Witman, Meneses-Claudio Brian, Fiorella Flores-Medina, Patricia Condori, Natalia I. Vargas-Cuentas and Avid Roman-Gonzalez, “Acquisition and Classification System of EMG Signals for Interpreting the Alphabet of the Sign Language” International Journal of Advanced Computer Science and Applications(IJACSA), 10(8), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100868

@article{Witman2019,
title = {Acquisition and Classification System of EMG Signals for Interpreting the Alphabet of the Sign Language},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100868},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100868},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {8},
author = {Alvarado-Diaz Witman and Meneses-Claudio Brian and Fiorella Flores-Medina and Patricia Condori and Natalia I. Vargas-Cuentas and Avid Roman-Gonzalez}
}