Work in progress: Multisensory stimulation for kids using Automatic Learning techniques based on an Embedded System

John Guachun-Arias, Sandro Gonzalez-Gonzalez, Luis Serpa-Andrade

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

Abstract

The evolution of automatic learning techniques has permitted the development of plenty of applications focused on data management and manipulation. Furthermore, the progress regarding the implementation of embedded systems has reached superlative levels considering the characteristics and functionality that this offers. On this context, this work proposes the challenge of merging these techniques in just one application. To this effect, first, a state-of-art review on the field of therapies of teaching-stimulation is considered. Thereafter, using automatic learning techniques, data will be analyzed with the aim of proposing a stimulation technique which offers better results compared to the traditional techniques. This way, one of the proposed stimulation techniques based on an embedded system will be implemented and the application will be verified in therapy sessions with children. Finally, the results achieved will be compared to the revision made earlier to verify their performance.

Original languageEnglish
Title of host publicationEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtitle of host publicationThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditorsClaudio da Rocha da Rocha Brito, Melary M. Ciampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728166384
DOIs
StatePublished - Mar 2020
Event4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duration: 15 Mar 202018 Mar 2020

Publication series

NameEDUNINE 2020 - 4th IEEE World Engineering Education Conference: The Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings

Conference

Conference4th IEEE World Engineering Education Conference, EDUNINE 2020
Country/TerritoryColombia
CityBogota
Period15/03/2018/03/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • embedded system
  • machine learning
  • multi-sensorial stimulation
  • stimulation therapies

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