Citation

Hammami SM, Alhammami M. MethodsX 2020; 7: 104-108.

Affiliation

Higher Institute for Applied Sciences and Technology, Syria.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.mex.2019.11.017

PMID

31908989

PMCID

PMC6938897

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.

© 2019 The Author(s).

Language: en

Keywords

Classification; Depth sensor; Optimized ML-based System Model for Detecting Violence Against Children; Reduced skeletal features-based model; Technology in society; k-NN