Federico Buccellato
Toward a Safer Cities: A Signal for Help Recognition System.
Rel. Sarah Azimi, Luca Sterpone, Eleonora Vacca, Corrado De Sio. Politecnico di Torino, Master of science program in Computer Engineering, 2024
Abstract
During the isolation period linked to the COVID-19 pandemic, there was a significant increase in domestic violence, which led to it being referred to as the “Shadow Pandemic”. In response to this problem, a Canadian foundation introduced the “Signal for Help”—a discreet hand gesture that allows individuals in danger to silently ask for help by tucking the thumb into the palm and folding the fingers over it. This signal has become an essential tool for victims of abuse, as it allows them to discreetly seek help in situations where speaking out is not an option. However, its effectiveness depends on the ability of those around to recognize it and respond quickly.
My thesis focuses precisely on this challenge: developing a system capable of automatically detecting the “Signal for Help” gesture in real time, using computer vision and machine learning technologies
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