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

doi:10.1007/978-3-031-33258-6_25

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

Research Group on Artificial Intelligence and Assistive Technologies (GI-IATA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Information Technology and Systems - ICITS 2023
Editors	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	273-282
Number of pages	10
ISBN (Print)	9783031332579
DOIs	https://doi.org/10.1007/978-3-031-33258-6_25
State	Published - 2023
Event	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Peru Duration: 24 Apr 2023 → 26 Apr 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	691 LNNS

Conference

Conference	International Conference on Information Technology and Systems, ICITS 2023
Country/Territory	Peru
City	Cusco
Period	24/04/23 → 26/04/23

Bibliographical note

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

Keywords

children and youth with disabilities
deep learning
health self-care
intellectual disability
sexual violence prevention
Smart mirror

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-33258-6_25

Cite this

Peña-Farfán, C., Peralta-Bautista, F., Panamá-Mazhenda, K., Bravo-Buri, S., Robles-Bykbaev, Y., Robles-Bykbaev, V., & Lema-Condo, E. (2023). 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. In Á. Rocha, C. Ferrás, & W. Ibarra (Eds.), Information Technology and Systems - ICITS 2023 (pp. 273-282). (Lecture Notes in Networks and Systems; Vol. 691 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33258-6_25

Peña-Farfán, C. ; Peralta-Bautista, F. ; Panamá-Mazhenda, K. et al. / 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. Information Technology and Systems - ICITS 2023. editor / Álvaro Rocha ; Carlos Ferrás ; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. pp. 273-282 (Lecture Notes in Networks and Systems).

@inproceedings{cecc067892f04ef78b789ba11839ed3e,

title = "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",

abstract = "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.",

keywords = "children and youth with disabilities, deep learning, health self-care, intellectual disability, sexual violence prevention, Smart mirror",

author = "C. Pe{\~n}a-Farf{\'a}n and F. Peralta-Bautista and K. Panam{\'a}-Mazhenda and S. Bravo-Buri and Y. Robles-Bykbaev and V. Robles-Bykbaev and E. Lema-Condo",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Information Technology and Systems, ICITS 2023 ; Conference date: 24-04-2023 Through 26-04-2023",

year = "2023",

doi = "10.1007/978-3-031-33258-6_25",

language = "English",

isbn = "9783031332579",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "273--282",

editor = "{\'A}lvaro Rocha and Carlos Ferr{\'a}s and Waldo Ibarra",

booktitle = "Information Technology and Systems - ICITS 2023",

address = "Germany",

}

Peña-Farfán, C, Peralta-Bautista, F, Panamá-Mazhenda, K, Bravo-Buri, S, Robles-Bykbaev, Y , Robles-Bykbaev, V & Lema-Condo, E 2023, 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. in Á Rocha, C Ferrás & W Ibarra (eds), Information Technology and Systems - ICITS 2023. Lecture Notes in Networks and Systems, vol. 691 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 273-282, International Conference on Information Technology and Systems, ICITS 2023, Cusco, Peru, 24/04/23. https://doi.org/10.1007/978-3-031-33258-6_25

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. / Peña-Farfán, C.; Peralta-Bautista, F.; Panamá-Mazhenda, K. et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. p. 273-282 (Lecture Notes in Networks and Systems; Vol. 691 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - 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

AU - Peña-Farfán, C.

AU - Peralta-Bautista, F.

AU - Panamá-Mazhenda, K.

AU - Bravo-Buri, S.

AU - Robles-Bykbaev, Y.

AU - Robles-Bykbaev, V.

AU - Lema-Condo, E.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - children and youth with disabilities

KW - deep learning

KW - health self-care

KW - intellectual disability

KW - sexual violence prevention

KW - Smart mirror

UR - http://www.scopus.com/inward/record.url?scp=85168998051&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-33258-6_25

DO - 10.1007/978-3-031-33258-6_25

M3 - Conference contribution

AN - SCOPUS:85168998051

SN - 9783031332579

T3 - Lecture Notes in Networks and Systems

SP - 273

EP - 282

BT - Information Technology and Systems - ICITS 2023

A2 - Rocha, Álvaro

A2 - Ferrás, Carlos

A2 - Ibarra, Waldo

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Information Technology and Systems, ICITS 2023

Y2 - 24 April 2023 through 26 April 2023

ER -

Peña-Farfán C, Peralta-Bautista F, Panamá-Mazhenda K, Bravo-Buri S, Robles-Bykbaev Y , Robles-Bykbaev V et al. 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. In Rocha Á, Ferrás C, Ibarra W, editors, Information Technology and Systems - ICITS 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 273-282. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-33258-6_25