文章基本信息

标题：Vision-based system model for detecting violence against children
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作者：Samir Marwan Hammami ; Muhammad Alhammami
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2020
卷号：7
页码：1-5
DOI：10.1016/j.mex.2019.11.017
语种：English
出版社：Elsevier
摘要：Graphical abstractDisplay OmittedAbstractWe 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.
关键词：Reduced skeletal features-based model;Classification;Depth sensor;k-NN;Technology in society