A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children

Violence against women and children is a public health issue of pandemic proportions. It is estimated that one in every three women worldwide has experienced physical, emotional, or sexual violence. Similarly, each year one out of two children are victims of some form of violence including domestic...

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Main Authors: Dalia Andrea Rodriguez, Arnoldo Diaz-Ramirez, Jesus Elias Miranda-Vega, Leonardo Trujillo, Pedro Mejia-Alvarez
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9508986/
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spelling doaj-1174230a7e8b405180781e891b75fa4f2021-08-23T23:01:22ZengIEEEIEEE Access2169-35362021-01-01911462211463910.1109/ACCESS.2021.31034599508986A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and ChildrenDalia Andrea Rodriguez0https://orcid.org/0000-0003-2453-2880Arnoldo Diaz-Ramirez1https://orcid.org/0000-0002-6188-0756Jesus Elias Miranda-Vega2https://orcid.org/0000-0003-0618-0455Leonardo Trujillo3https://orcid.org/0000-0003-1812-5736Pedro Mejia-Alvarez4https://orcid.org/0000-0003-4465-6266Department of Computer Systems, Tecnológico Nacional de México/IT Mexicali, Mexicali, Baja California, MexicoDepartment of Computer Systems, Tecnológico Nacional de México/IT Mexicali, Mexicali, Baja California, MexicoDepartment of Computer Systems, Tecnológico Nacional de México/IT Mexicali, Mexicali, Baja California, MexicoDepartment of Electrics and Electronics, Tecnológico Nacional de México/IT Tijuana, Tijuana, Baja California, MexicoCinvestav Guadalajara, Zapopan, Jalisco, MexicoViolence against women and children is a public health issue of pandemic proportions. It is estimated that one in every three women worldwide has experienced physical, emotional, or sexual violence. Similarly, each year one out of two children are victims of some form of violence including domestic aggression and bullying. Due to the widespread use of the Internet and social media, women and children are now vulnerable to other types of violence such as cyber-bullying and online sexual or emotional harassment. To help alleviate this social problem, the use of computer science and related technologies has been leveraged in recent years. The Internet of Things, artificial intelligence, ubiquitous and mobile computing, pattern recognition, cloud computing and similar technologies, have been used to formulate solutions to detect and prevent violent acts against women and children. In this paper, a systematic review of some of the efforts that can help address the problem of violence against women and children is presented. This paper describes the current state-of-the-art of these contributions and identifies trends, architectures, technologies, and current open challenges. The survey was developed using a literature review of academic documents published from 2010 to 2020. The contributions were categorized into four application domains: online detection, offline detection, safety, and education. These contributions were further categorized based on the computer science approaches and technologies used: artificial intelligence, Internet of Things, and digital serious games.https://ieeexplore.ieee.org/document/9508986/Artificial intelligenceInternet of Thingsmachine learningubiquitous computing
collection DOAJ
language English
format Article
sources DOAJ
author Dalia Andrea Rodriguez
Arnoldo Diaz-Ramirez
Jesus Elias Miranda-Vega
Leonardo Trujillo
Pedro Mejia-Alvarez
spellingShingle Dalia Andrea Rodriguez
Arnoldo Diaz-Ramirez
Jesus Elias Miranda-Vega
Leonardo Trujillo
Pedro Mejia-Alvarez
A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
IEEE Access
Artificial intelligence
Internet of Things
machine learning
ubiquitous computing
author_facet Dalia Andrea Rodriguez
Arnoldo Diaz-Ramirez
Jesus Elias Miranda-Vega
Leonardo Trujillo
Pedro Mejia-Alvarez
author_sort Dalia Andrea Rodriguez
title A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
title_short A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
title_full A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
title_fullStr A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
title_full_unstemmed A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children
title_sort systematic review of computer science solutions for addressing violence against women and children
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Violence against women and children is a public health issue of pandemic proportions. It is estimated that one in every three women worldwide has experienced physical, emotional, or sexual violence. Similarly, each year one out of two children are victims of some form of violence including domestic aggression and bullying. Due to the widespread use of the Internet and social media, women and children are now vulnerable to other types of violence such as cyber-bullying and online sexual or emotional harassment. To help alleviate this social problem, the use of computer science and related technologies has been leveraged in recent years. The Internet of Things, artificial intelligence, ubiquitous and mobile computing, pattern recognition, cloud computing and similar technologies, have been used to formulate solutions to detect and prevent violent acts against women and children. In this paper, a systematic review of some of the efforts that can help address the problem of violence against women and children is presented. This paper describes the current state-of-the-art of these contributions and identifies trends, architectures, technologies, and current open challenges. The survey was developed using a literature review of academic documents published from 2010 to 2020. The contributions were categorized into four application domains: online detection, offline detection, safety, and education. These contributions were further categorized based on the computer science approaches and technologies used: artificial intelligence, Internet of Things, and digital serious games.
topic Artificial intelligence
Internet of Things
machine learning
ubiquitous computing
url https://ieeexplore.ieee.org/document/9508986/
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