@article{ref1,
title="Vision-based system model for detecting violence against children",
journal="MethodsX",
year="2020",
author="Hammami, Samir Marwan and Alhammami, Muhammad",
volume="7",
number="",
pages="104-108",
abstract="We present in this paper a machine learning model for detecting violence against children. This model, which uses skeletal data acquired by depth sensors achieved a high accuracy violence detection rate of 99.03 %. In sum, this research method presents: •First ML-based method for detecting most common child abuses, which keeps the privacy of people by using only skeleton joints data.•The model has only two classes (violent action, non-violent action).•The model can be a base for other researches and implementations in schools by school psychologists and counselors.<br><br>© 2019 The Author(s).<p /> <p>Language: en</p>",
language="en",
issn="2215-0161",
doi="10.1016/j.mex.2019.11.017",
url="http://dx.doi.org/10.1016/j.mex.2019.11.017"
}