A virtual robotic assistant and expert system to provide development and rehabilitation exercises for gross motor skills in children with disabilities

S. Amendano-Murrillo, C. Duta-Gomez, V. Robles-Bykbaev, P. Suquilanda-Cuesta, D. Perez-Munoz, A. Perez-Munoz

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

Abstract

According to the World Health organization (WHO), the children that present disabilities have more opportunities to reach a better development and quality life in the future if they receive an early therapeutic intervention. The gross and fine motor skills are strongly related to several cognitive development mainstays of children. In this line, we present a tool aimed at providing a set of interactive rehabilitation exercises delivered to children with disabilities through the support of a virtual robotic assistant. Our proposal relies on several activities described in the Gross Motor Function Measure and has been evaluated with the support of a team of experts in the special education area.

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

Funding Information:
This work was funded by the Cátedra UNESCO Tecnologías de Apoyo para la Inclusión Educativa and the research project “Sistemas Inteligentes de Soporte a la Educación Especial (SINSAE v5)” of the Universidad Politécnica Salesiana.

Publisher Copyright:
© 2020 IEEE.

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

Keywords

  • Children with Disabilities
  • Expert system
  • Gross motor skills
  • Robotic assistant.

Fingerprint

Dive into the research topics of 'A virtual robotic assistant and expert system to provide development and rehabilitation exercises for gross motor skills in children with disabilities'. Together they form a unique fingerprint.

Cite this