Title
Acquisition and classification system of EMG signals for interpreting the alphabet of the sign language
Date Issued
01 January 2019
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
Science and Information Organization
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%.
Start page
518
End page
521
Volume
10
Issue
8
Language
English
OCDE Knowledge area
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-85072293782
Source
International Journal of Advanced Computer Science and Applications
ISSN of the container
2158107X
Sources of information:
Directorio de Producción Científica
Scopus