A Smart Mirror Based on Computer Vision and Deep Learning to Support the Learning of Sexual Violence Prevention and Self-care Health in Youth with Intellectual Disabilities

C. Peña-Farfán, F. Peralta-Bautista, K. Panamá-Mazhenda, S. Bravo-Buri, Y. Robles-Bykbaev, V. Robles-Bykbaev, E. Lema-Condo

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

Resumen

The World Health Organization (WHO) estimates that near one billion children under the age of 18 have experienced some form of physical, sexual, or emotional violence. This panorama becomes much more complex in the case of children and young people with disabilities since, in developing countries such as Ecuador, there are no educational programs and technological tools that allow teaching notions of sexual violence prevention and healthy self-care. For these reasons, this article presents a proposal based on smart mirrors that combines educational techniques and artificial vision, and deep learning tools to teach these concepts to children and young people with or without disabilities. The proposal was initially validated by a group of 3 expert psychologists and tested with 6 children with various types of disabilities.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems - ICITS 2023
EditoresÁlvaro Rocha, Carlos Ferrás, Waldo Ibarra
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas273-282
Número de páginas10
ISBN (versión impresa)9783031332579
DOI
EstadoPublicada - 2023
EventoInternational Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú
Duración: 24 abr. 202326 abr. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen691 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2023
País/TerritorioPerú
CiudadCusco
Período24/04/2326/04/23

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Huella

Profundice en los temas de investigación de 'A Smart Mirror Based on Computer Vision and Deep Learning to Support the Learning of Sexual Violence Prevention and Self-care Health in Youth with Intellectual Disabilities'. En conjunto forman una huella única.

Citar esto