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A non-invasive social monitoring application for danger situations based on a edge-based Machine Learning solution

Book Contribution - Book Abstract Conference Contribution

In this article, we analyze the use of non-intrusive monitoring sensors to detect dangerous situations in social events, a typical example being sexual harassment situations during parties. Non invasive sensors can be defined as devices that help measuring some specific parameter of interest remaining hidden or un-perceived by the user.We propose a solution based on a social application that can, in a non-intrusive way, detect sexual harassment situations and generate alerts automatically to the close by people so that detection of these situations can become quick and independent from the person being attacked. Our results are still preliminary but show that the project can certainly be developed into a working system that can help prevent control crimes from happening at public gatherings.
Book: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 8-11 January, 2022, Las Vegas, USA
Pages: 284 - 289
ISBN:978-1-6654-3162-0
Publication year:2022
Keywords:P1 Proceeding
Accessibility:Closed