Desarrollo de una herramienta para la detección de presencia humana en situaciones de desastre a través de dispositivos móviles utilizando técnicas de interacción y aprendizaje automático

Natural disasters such as large earthquakes can cause avalanches, fires and damage to building infrastructure, which is why there is a high probability that people may be trapped under the rubble or debris generated. One of the consequences is that due to structural damage, communication antennas ar...

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Bibliographic Details
Main Authors:	Jiménez Vanegas, Diego Alexander, Orjuela Forero, Carl Walker Mitchel
Other Authors:	Ramírez Idárraga, Juan Camilo
Format:	Tesis/Trabajo de grado - Monografía - Pregrado
Language:	Español
Published:	Ingeniería de Software (Distancia) 2025
Subjects:	Aprendizaje automático Scrum Reconocimiento de actividad humana Kotlin Machine Learning Module Device
Online Access:	https://repositorio.uan.edu.co/handle/123456789/12065
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Summary:	Natural disasters such as large earthquakes can cause avalanches, fires and damage to building infrastructure, which is why there is a high probability that people may be trapped under the rubble or debris generated. One of the consequences is that due to structural damage, communication antennas are affected and, therefore, when mobile networks are disabled, it is important to have tools that work without this type of connection, mitigating the difficulties that rescuers have in finding affected people. For this reason, the Faculty of Systems Engineering at the Antonio Nariño University is advancing a research project for the development of a mobile messaging application called Conecta2, which can be used in emergency or post-disaster situations, through the use of an ad hoc network to allow the exchange of messages