A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults

B. Calva-Bravo; W. Rodas-Pérez; V. Robles-Bykbaev; P. León-Gómez

doi:10.1007/978-981-19-6347-6_24

A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults

B. Calva-Bravo, W. Rodas-Pérez, V. Robles-Bykbaev, P. León-Gómez

Grupo de Investigación de Inteligencia Artificial y Tecnologías de Asistencia (GI-IATa)

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

Resumen

According to the World Health Organization (WHO), falls are the second cause of death due to accidental injuries, and older adults are the ones who suffer the most from them. In Ecuador, there are about 1,300,000 older adults, and falls are a major problem for their quality of life. For this reason, in this article, we present a low-cost prototype system for the monitoring and detection of falls, with the aim of providing support for the care of older adults. This tool is based on a module that applies computer vision and image processing techniques, convolutional neural networks (CNNs) and Web and mobile applications. They allow the monitoring and control of falls. To test the operation of the system, tests were carried out with fifteen volunteers. It was determined that the system managed to correctly detect 80% of fall-related events.

Idioma original	Inglés
Título de la publicación alojada	Communication and Applied Technologies - Proceedings of ICOMTA 2022
Editores	Paulo Carlos López-López, Ángel Torres-Toukoumidis, Andrea De-Santis, Óscar Avilés, Daniel Barredo
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	269-278
Número de páginas	10
ISBN (versión impresa)	9789811963469
DOI	https://doi.org/10.1007/978-981-19-6347-6_24
Estado	Publicada - 2023
Evento	International Conference on Communication and Applied Technologies, ICOMTA 2022 - Cuenca, Ecuador Duración: 7 sep. 2022 → 9 sep. 2022

Serie de la publicación

Nombre	Smart Innovation, Systems and Technologies
Volumen	318
ISSN (versión impresa)	2190-3018
ISSN (versión digital)	2190-3026

Conferencia

Conferencia	International Conference on Communication and Applied Technologies, ICOMTA 2022
País/Territorio	Ecuador
Ciudad	Cuenca
Período	7/09/22 → 9/09/22

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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10.1007/978-981-19-6347-6_24

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Calva-Bravo, B., Rodas-Pérez, W., Robles-Bykbaev, V., & León-Gómez, P. (2023). A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults. En P. C. López-López, Á. Torres-Toukoumidis, A. De-Santis, Ó. Avilés, & D. Barredo (Eds.), Communication and Applied Technologies - Proceedings of ICOMTA 2022 (pp. 269-278). (Smart Innovation, Systems and Technologies; Vol. 318). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6347-6_24

Calva-Bravo, B. ; Rodas-Pérez, W. ; Robles-Bykbaev, V. et al. / A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults. Communication and Applied Technologies - Proceedings of ICOMTA 2022. editor / Paulo Carlos López-López ; Ángel Torres-Toukoumidis ; Andrea De-Santis ; Óscar Avilés ; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 269-278 (Smart Innovation, Systems and Technologies).

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abstract = "According to the World Health Organization (WHO), falls are the second cause of death due to accidental injuries, and older adults are the ones who suffer the most from them. In Ecuador, there are about 1,300,000 older adults, and falls are a major problem for their quality of life. For this reason, in this article, we present a low-cost prototype system for the monitoring and detection of falls, with the aim of providing support for the care of older adults. This tool is based on a module that applies computer vision and image processing techniques, convolutional neural networks (CNNs) and Web and mobile applications. They allow the monitoring and control of falls. To test the operation of the system, tests were carried out with fifteen volunteers. It was determined that the system managed to correctly detect 80% of fall-related events.",

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Calva-Bravo, B, Rodas-Pérez, W, Robles-Bykbaev, V & León-Gómez, P 2023, A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults. En PC López-López, Á Torres-Toukoumidis, A De-Santis, Ó Avilés & D Barredo (eds.), Communication and Applied Technologies - Proceedings of ICOMTA 2022. Smart Innovation, Systems and Technologies, vol. 318, Springer Science and Business Media Deutschland GmbH, pp. 269-278, International Conference on Communication and Applied Technologies, ICOMTA 2022, Cuenca, Ecuador, 7/09/22. https://doi.org/10.1007/978-981-19-6347-6_24

A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults. / Calva-Bravo, B.; Rodas-Pérez, W.; Robles-Bykbaev, V. et al.
Communication and Applied Technologies - Proceedings of ICOMTA 2022. ed. / Paulo Carlos López-López; Ángel Torres-Toukoumidis; Andrea De-Santis; Óscar Avilés; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. p. 269-278 (Smart Innovation, Systems and Technologies; Vol. 318).

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

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T1 - A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults

AU - Calva-Bravo, B.

AU - Rodas-Pérez, W.

AU - Robles-Bykbaev, V.

AU - León-Gómez, P.

PY - 2023

Y1 - 2023

N2 - According to the World Health Organization (WHO), falls are the second cause of death due to accidental injuries, and older adults are the ones who suffer the most from them. In Ecuador, there are about 1,300,000 older adults, and falls are a major problem for their quality of life. For this reason, in this article, we present a low-cost prototype system for the monitoring and detection of falls, with the aim of providing support for the care of older adults. This tool is based on a module that applies computer vision and image processing techniques, convolutional neural networks (CNNs) and Web and mobile applications. They allow the monitoring and control of falls. To test the operation of the system, tests were carried out with fifteen volunteers. It was determined that the system managed to correctly detect 80% of fall-related events.

AB - According to the World Health Organization (WHO), falls are the second cause of death due to accidental injuries, and older adults are the ones who suffer the most from them. In Ecuador, there are about 1,300,000 older adults, and falls are a major problem for their quality of life. For this reason, in this article, we present a low-cost prototype system for the monitoring and detection of falls, with the aim of providing support for the care of older adults. This tool is based on a module that applies computer vision and image processing techniques, convolutional neural networks (CNNs) and Web and mobile applications. They allow the monitoring and control of falls. To test the operation of the system, tests were carried out with fifteen volunteers. It was determined that the system managed to correctly detect 80% of fall-related events.

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Calva-Bravo B, Rodas-Pérez W, Robles-Bykbaev V, León-Gómez P. A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults. En López-López PC, Torres-Toukoumidis Á, De-Santis A, Avilés Ó, Barredo D, editores, Communication and Applied Technologies - Proceedings of ICOMTA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 269-278. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-19-6347-6_24

A Low-Cost Device for the Monitoring and Detection of Falls in Older Adults

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