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
