Domestic Violence Prevention System

  • Samuel Gallego Chimeno
  • Joaquín Delgado Fernández
  • Sergio Márquez SánchezEmail author
  • Pablo Pueyo Ramón
  • Óscar Mauricio Salazar Ospina
  • Marcel Vicente Muñoz
  • Aarón González Hernández
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 802)


Domestic violence is a common problem in society. This type of violence can be understood as a behaviour pattern in the form of physical and/or sexual abuse, threats, coercion, intimidation, isolation, emotional or economic abuse exercised in the field of family life against any member who forms its nucleus. Currently, numerous efforts have been made to mitigate this type of violence, on a social, legal, technological or any other level. However, this is a problem that is difficult to control due to the diversity of ways in which this pattern of behavior can be expressed and the large number of repeat offenders. In this context, it is necessary to take advantage of the benefits that technology brings to detect this type of problem early and take corrective action in time. Based on the above, this work proposes the development of a system supported by intelligent services to detect cases of violence in homes with a history of violence. The experimental results obtained from the implementation of the case study show that the incorporation of intelligent services into early domestic violence prevention systems can help to control cases of recidivism and take corrective action in advance, thus mitigating the consequences and in many cases helping to save lives.


Domestic violence Watson Violence prevention systems Threats Violent action Domestic problems 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Samuel Gallego Chimeno
    • 1
  • Joaquín Delgado Fernández
    • 1
  • Sergio Márquez Sánchez
    • 1
    Email author
  • Pablo Pueyo Ramón
    • 1
  • Óscar Mauricio Salazar Ospina
    • 2
  • Marcel Vicente Muñoz
    • 1
  • Aarón González Hernández
    • 1
  1. 1.BISITE Digital Innovation HubUniversity of Salamanca, Edificio I+D+i Universidad de SalamancaSalamancaSpain
  2. 2.Departamento de Ciencias de la Computación y la DecisiónUniversidad Nacional de Colombia – Sede MedellínMedellínColombia

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