| Revista: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000423247 |
| ISSN: | 1405-5546 |
| Autors: | Saldaña González, Griselda1 Cerezo Sánchez, Jorge1 Bustillo Díaz, Mario Mauricio2 Ata Pérez, Apolonio2 |
| Institucions: | 1Universidad Tecnológica de Puebla, Ingeniería en Tecnologías para la Automatización, Puebla. México 2Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México |
| Any: | 2018 |
| Període: | Ene-Mar |
| Volum: | 22 |
| Número: | 1 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | In this paper it is presented a computational system for recognition and classification of letters of the sign language in Spanish, designed for helping deaf-mute people to communicate with other persons. A low-cost glove that captures the hand movements has been constructed. This one contains an accelerometer for each finger which allows detecting its position by using an acquisition data board. Sensor information is sent wirelessly to a computer having a software interface, developed in LabVIEW, in which the symbols dataset is generated. For the automatic recognition of letters we have applied a statistical treatment to the dataset obtaining accuracy greater than 96% independently of the user |
| Disciplines | Literatura y lingüística, Ciencias de la computación |
| Paraules clau: | Lingüística aplicada, Inteligencia artificial, Lenguaje de señas, Aprendizaje de máquinas |
| Keyword: | Applied linguistics, Artificial intelligence, Sign language, Machine learning |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
