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

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtítulo de la publicación alojadaThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditoresClaudio da Rocha da Rocha Brito, Melary M. Ciampi
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728166384
DOI
EstadoPublicada - mar. 2020
Evento4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duración: 15 mar. 202018 mar. 2020

Serie de la publicación

NombreEDUNINE 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

Conferencia

Conferencia4th IEEE World Engineering Education Conference, EDUNINE 2020
País/TerritorioColombia
CiudadBogota
Período15/03/2018/03/20

Nota bibliográfica

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.

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