LeSigLa_EC: Learning sign language of Ecuador

D. Rivas, M. Alvarez, W. Tamayo, V. Morales, R. Granizo, G. Vayas, V. Andaluz, M. Huerta, G. Clotet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The Technology in Information and Communication have allowed the exploration of new techniques in teaching, the development of computerized tools that improve the user learning experiences. Hearing-impaired people communicate using sign language, this tool represents the letters of the alphabet in a gestural way, which is the basis of their communication. In Ecuador, there is a deficit of teachers in schools for deaf people; for this reason, we propose a computer program to teach ecuadorian sign language using a gesture sensor as an input device and output on a monitor, allowing students to improve their learning experience.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers
EditorsTien-Chi Huang, Rynson Lau, Yueh-Min Huang, Marc Spaniol, Chun-Hung Yuen
PublisherSpringer Verlag
Pages170-179
Number of pages10
ISBN (Print)9783319710839
DOIs
StatePublished - 1 Jan 2017
Event2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017 - Cape Town, South Africa
Duration: 20 Sep 201722 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10676 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017
Country/TerritorySouth Africa
CityCape Town
Period20/09/1722/09/17

Bibliographical note

Funding Information:
Acknowledgment. The authors thank the ESPE for the support to the execution of the project 2016-PIC-045, “Sistema de soporte a la enseñanza y comprensión de lenguaje de señas básico, aplicando técnicas de clasificación de datos para la interpretación gestual”.

Publisher Copyright:
© Springer International Publishing AG 2017.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • CSCL
  • Leap motion
  • Sign language

Fingerprint

Dive into the research topics of 'LeSigLa_EC: Learning sign language of Ecuador'. Together they form a unique fingerprint.

Cite this