AINeutralarXiv – CS AI · 15h ago6/10
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Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
Researchers have developed an interpretable AI framework for assessing suicide risk in metro stations using surveillance video analysis, achieving 83.2% ROC-AUC by combining person tracking, activity recognition, and trajectory analysis. This work addresses a critical public health challenge by enabling early identification of high-risk situations that could facilitate timely intervention.