Desarrollo de sistema inteligente de asistencia para adultos mayores.
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad de Concepción
Abstract
La rápida evolución de la tecnología desde los años 50 ha revolucionado las industrias mediante la automatización, pero persisten desafíos para adaptar estos avances al ámbito doméstico, especialmente en el cuidado de adultos mayores. Las personas mayores enfrentan numerosos desafíos diarios, como el aislamiento, los accidentes y la dificultad para pedir ayuda. Esta investigación se centra en desarrollar una estructura mecánica, compuesto por un controlador, cámara y servomotor que sean en su conjunto capaz de brindar asistencia para mejorar el cuidado de los adultos mayores atacando los problemas críticos mencionados. El sistema emplea técnicas de inteligencia artificial, específicamente redes neuronales convolucionales (CNN), integradas con la detección y el seguimiento de posturas en tiempo real utilizando MediaPipe y servomotores. El objetivo principal es monitorear la posición del adulto mayor, de pie, sentado, acostado o agachado y alertar a los cuidadores en caso de emergencias. El proyecto se basa en un trabajo previo que incluyó el diseño de un pedestal robótico, complementado con el desarrollo de un nuevo sistema de control que permite el movimiento autónomo de la cámara según la posición del individuo. A pesar de los desafíos en la implementación en tiempo real y el procesamiento de datos, el sistema mostró resultados prometedores y establece las bases para una tecnología destinada a mejorar la seguridad y la calidad de vida de los adultos mayores mediante tecnologías de monitoreo no invasivas.
The fast evolution of technology since the 1950s has revolutionized industries through automation, but challenges remain in adapting these advancements for domestic use, particularly in elderly care. Elderly individuals face numerous daily challenges, such as isolation, accidents, and difficulty in seeking help. This research focuses on developing a mechanical structure, composed of a controller, camera and servomotor, capable of providing assistance to improve elderly care by addressing the critical issues mentioned. The system employs artificial intelligence techniques, specifically convolutional neural networks (CNNs), integrated with real-time posture detection and tracking using MediaPipe and servomotors. The primary goal is to monitor the elderly’s position—standing, sitting, lying, or crouching—and alert caregivers in case of emergencies. The project builds on prior work involving the design of a robotic pedestal, complemented by the development of a new control system enabling autonomous movement of the camera based on the individual’s position. Despite challenges in real-time implementation and data processing, the system demonstrated promising results and provides a foundation of a new system with the objective of improving the safety and quality of life for the elderly through non-invasive monitoring technologies.
The fast evolution of technology since the 1950s has revolutionized industries through automation, but challenges remain in adapting these advancements for domestic use, particularly in elderly care. Elderly individuals face numerous daily challenges, such as isolation, accidents, and difficulty in seeking help. This research focuses on developing a mechanical structure, composed of a controller, camera and servomotor, capable of providing assistance to improve elderly care by addressing the critical issues mentioned. The system employs artificial intelligence techniques, specifically convolutional neural networks (CNNs), integrated with real-time posture detection and tracking using MediaPipe and servomotors. The primary goal is to monitor the elderly’s position—standing, sitting, lying, or crouching—and alert caregivers in case of emergencies. The project builds on prior work involving the design of a robotic pedestal, complemented by the development of a new control system enabling autonomous movement of the camera based on the individual’s position. Despite challenges in real-time implementation and data processing, the system demonstrated promising results and provides a foundation of a new system with the objective of improving the safety and quality of life for the elderly through non-invasive monitoring technologies.
Description
Tesis presentada para optar al título de Ingeniero Civil Mecánico
Keywords
Dispositivos de autoayuda, Automatización, Ancianos