Real-Time Detection, Evaluation, and Mapping of Crowd Panic Emergencies Based on Geo-Biometrical Data and Machine Learning

Real-Time Detection, Evaluation, and Mapping of Crowd Panic Emergencies Based on Geo-Biometrical Data and Machine Learning

Crowd panic emergencies can pose serious risks to public safety, and effective detection and mapping of such events are crucial for rapid response and mitigation. In this paper, we propose a real-time system for detecting and mapping crowd panic emergencies based on machine learning and georeference...

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Bibliographic Details
Main Authors: Ilias Lazarou, Anastasios L. Kesidis, Andreas Tsatsaris
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Digital
Subjects:
panic detection
biometrics
machine learning
classification
real-time data
emergency response systems
Online Access:https://www.mdpi.com/2673-6470/5/1/2
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