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A Mobile Educational Application Based on Transfer Learning and Computer Vision for Teaching Semantics Fields in Children with Intellectual Disabilities

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

Abstract

Nowadays, informfation and communication technologies (ICT) are having major changes in almost all areas of society, there has been mainly a growing interest in educational technology. For this reason, in the following research, within the framework of a mobile application, an artificial vision module based on deep learning has been developed, which consists of the recognition and classification of images of 3 semantic fields (fruits, vegetables, and meats) and the recognition of their subclasses respectively by object detection. There is also the development of a serious game that consists of healthy eating which is intended to improve the development of the teaching-learning process in children and teenagers so that this game can be inclusive and equitable.

Original languageEnglish
Title of host publicationManagement, Tourism and Smart Technologies - ICMTT 2023 Volume 1
EditorsCarlos Montenegro, Álvaro Rocha, Juan Manuel Cueva Lovelle
PublisherSpringer Science and Business Media Deutschland GmbH
Pages13-22
Number of pages10
ISBN (Print)9783031441301
DOIs
StatePublished - 2024
EventInternational Conference on Management, Tourism and Technologies, ICMTT 2023 - Bogotá, Colombia
Duration: 4 May 20236 May 2023

Publication series

NameLecture Notes in Networks and Systems
Volume773

Conference

ConferenceInternational Conference on Management, Tourism and Technologies, ICMTT 2023
Country/TerritoryColombia
CityBogotá
Period4/05/236/05/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • children
  • convolutional neural networks
  • intellectual disability
  • mobile application
  • Transfer learning

CACES Knowledge Areas

  • 316A Software and Applications Development and Analysis
  • 8116A Information Systems

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