Intelligent Elderly Monitoring System Using Computer Vision

Diego Gómez Cerón; María C.Gómez Medina; Jesús Quiróz Rojas; Juan Inga-Ortega

doi:10.1109/COLCOM62950.2024.10720249

Intelligent Elderly Monitoring System Using Computer Vision

Diego Gómez Cerón
, María C.Gómez Medina
, Jesús Quiróz Rojas
, Juan Inga-Ortega

Grupo de Investigación en Telecomunicaciones y Telemática (GITEL)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

This project presents an intelligent monitoring system that uses computer vision technologies to improve the care of older adults. Various tests were carried out to demonstrate the accuracy and effectiveness of the selected machine learning models, as well as comparisons between the training data used, including different training/test split divisions to determine the best configuration. In addition, a proprietary dataset with 300 videos was created and compared with a subset of NTU RGB+D. The results showed high accuracy and effectiveness in activity detection and tracking.

Idioma original	Inglés
Título de la publicación alojada	2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings
Editores	Diana Z. Briceno Rodriguez
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798331504724
DOI	https://doi.org/10.1109/COLCOM62950.2024.10720249
Estado	Publicada - 2024
Evento	2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Barranquilla, Colombia Duración: 21 ago. 2024 → 24 ago. 2024

Serie de la publicación

Nombre	2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings

Conferencia

Conferencia	2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024
País/Territorio	Colombia
Ciudad	Barranquilla
Período	21/08/24 → 24/08/24

Nota bibliográfica

Publisher Copyright:
© 2024 IEEE.

Areas de Conocimiento del CACES

417A Electrónica, automatización y sonido

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10.1109/COLCOM62950.2024.10720249

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Cerón, D. G., Medina, M. C. G., Rojas, J. Q., & Inga-Ortega, J. (2024). Intelligent Elderly Monitoring System Using Computer Vision. En D. Z. Briceno Rodriguez (Ed.), 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings (2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COLCOM62950.2024.10720249

Cerón, Diego Gómez ; Medina, María C.Gómez ; Rojas, Jesús Quiróz et al. / Intelligent Elderly Monitoring System Using Computer Vision. 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings. editor / Diana Z. Briceno Rodriguez. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings).

@inproceedings{c257123168404d08bfef05f7099cb0f7,

title = "Intelligent Elderly Monitoring System Using Computer Vision",

abstract = "This project presents an intelligent monitoring system that uses computer vision technologies to improve the care of older adults. Various tests were carried out to demonstrate the accuracy and effectiveness of the selected machine learning models, as well as comparisons between the training data used, including different training/test split divisions to determine the best configuration. In addition, a proprietary dataset with 300 videos was created and compared with a subset of NTU RGB+D. The results showed high accuracy and effectiveness in activity detection and tracking.",

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note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 ; Conference date: 21-08-2024 Through 24-08-2024",

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doi = "10.1109/COLCOM62950.2024.10720249",

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series = "2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings",

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Cerón, DG, Medina, MCG, Rojas, JQ & Inga-Ortega, J 2024, Intelligent Elderly Monitoring System Using Computer Vision. En DZ Briceno Rodriguez (ed.), 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings. 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024, Barranquilla, Colombia, 21/08/24. https://doi.org/10.1109/COLCOM62950.2024.10720249

Intelligent Elderly Monitoring System Using Computer Vision. / Cerón, Diego Gómez; Medina, María C.Gómez; Rojas, Jesús Quiróz et al.
2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings. ed. / Diana Z. Briceno Rodriguez. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Intelligent Elderly Monitoring System Using Computer Vision

AU - Cerón, Diego Gómez

AU - Medina, María C.Gómez

AU - Rojas, Jesús Quiróz

AU - Inga-Ortega, Juan

PY - 2024

Y1 - 2024

N2 - This project presents an intelligent monitoring system that uses computer vision technologies to improve the care of older adults. Various tests were carried out to demonstrate the accuracy and effectiveness of the selected machine learning models, as well as comparisons between the training data used, including different training/test split divisions to determine the best configuration. In addition, a proprietary dataset with 300 videos was created and compared with a subset of NTU RGB+D. The results showed high accuracy and effectiveness in activity detection and tracking.

AB - This project presents an intelligent monitoring system that uses computer vision technologies to improve the care of older adults. Various tests were carried out to demonstrate the accuracy and effectiveness of the selected machine learning models, as well as comparisons between the training data used, including different training/test split divisions to determine the best configuration. In addition, a proprietary dataset with 300 videos was created and compared with a subset of NTU RGB+D. The results showed high accuracy and effectiveness in activity detection and tracking.

KW - metrics

KW - models

KW - neural networks

KW - preprocessing

UR - https://www.scopus.com/pages/publications/85208827270

U2 - 10.1109/COLCOM62950.2024.10720249

DO - 10.1109/COLCOM62950.2024.10720249

M3 - Conference contribution

AN - SCOPUS:85208827270

T3 - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings

BT - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings

A2 - Briceno Rodriguez, Diana Z.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024

Y2 - 21 August 2024 through 24 August 2024

ER -

Cerón DG, Medina MCG, Rojas JQ, Inga-Ortega J. Intelligent Elderly Monitoring System Using Computer Vision. En Briceno Rodriguez DZ, editor, 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. (2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings). doi: 10.1109/COLCOM62950.2024.10720249

Intelligent Elderly Monitoring System Using Computer Vision

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