نموذج نظام بصري يعتمد على منهجيات تعلم الآلة لاكتشاف العنف ضد الأطفال
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:
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First ML-based method for detecting most common child abuses, which keeps the privacy of people by using only skeleton joints data.
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The model has only two classes (violent action, non-violent action).
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The model can be a base for other researches and implementations in schools by school psychologists and counselors.
محمد الحمامي | Muhammad Alhammami | 8091