Recognition and Classification of Sign Language for Spanish

Authors

  • Griselda Saldaña González Universidad Tecnológica de Puebla
  • Jorge Cerezo Sánchez
  • Mario Mauricio Bustillo Díaz
  • Apolonio Ata Pérez

DOI:

https://doi.org/10.13053/cys-22-1-2780

Keywords:

Signs language, Machine Learning, Glove,

Abstract

In this paper it is presented a computationalsystem for recognition and classification of letters ofthe sign language in Spanish, designed for helpingdeaf-mute people to communicate with other persons.A low-cost glove that captures the hand movements hasbeen constructed. This one contains an accelerometerfor each finger which allows detecting its position byusing an acquisition data board. Sensor informationis sent wirelessly to a computer having a softwareinterface, developed in LabVIEW, in which the symbolsdataset is generated. For the automatic recognitionof letters we have applied a statistical treatmentto the dataset obtaining accuracy greater than 96%independently of the user.

Author Biography

Griselda Saldaña González, Universidad Tecnológica de Puebla

Full Time Professor at División de Mecatrónica, Universidad Tecnológica de Puebla

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Published

2018-03-30

Issue

Vol. 22 No. 1 (2018): Thematic Issue on Language & Knowledge Engineering (Guest Editors: D. Pinto, D. Vilariño, B. Beltrán)

Section

Articles of the Thematic Issue

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