Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables

Juan Calle; Emilio Guzmán; Juan Fernando Lima; Andrés Patiño; Marcos Orellana; Priscila Cedillo

doi:10.1007/978-3-030-99170-8_23

Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables

Juan Calle
, Emilio Guzmán
, Juan Fernando Lima
, Andrés Patiño
, Marcos Orellana
, Priscila Cedillo

Universidad del Azuay

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

Resumen

Exercising outdoors, in a polluted environment, can cause adverse health effects for people. Therefore, it is important to know the levels of pollutants in the environment in which the exercise is carried out. This article applies the Clustering technique to generate a recommendation system of hours of the day in which it is possible to perform physical activities, reducing the damage to health, considering the levels of pollutants present in the environment. A dataset provided by the Monitoring Network of the Public Mobility, Transit and Transport Company (EMOV EP) of Cuenca, Ecuador, was used. The results show that through an unsupervised learning data mining technique such as clustering, a recommendation system can be implemented. This system generates a range of time within physical activities are suggested to be performed, reducing the negative impact on people’s health of high levels of pollutants and meteorological variables present in the environment.

Idioma original	Inglés
Título de la publicación alojada	Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers
Editores	Fabián R. Narváez, Julio Proaño, Paulina Morillo, Diego Vallejo, Daniel González Montoya, Gloria M. Díaz
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	318-331
Número de páginas	14
ISBN (versión impresa)	9783030991692
DOI	https://doi.org/10.1007/978-3-030-99170-8_23
Estado	Publicada - 2022
Publicado de forma externa	Sí
Evento	2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021 - Quito, Ecuador Duración: 1 dic. 2021 → 3 dic. 2021

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1532 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021
País/Territorio	Ecuador
Ciudad	Quito
Período	1/12/21 → 3/12/21

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar
ODS 11: Ciudades y comunidades sostenibles

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10.1007/978-3-030-99170-8_23

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Calle, J., Guzmán, E., Lima, J. F., Patiño, A., Orellana, M., & Cedillo, P. (2022). Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables. En F. R. Narváez, J. Proaño, P. Morillo, D. Vallejo, D. González Montoya, & G. M. Díaz (Eds.), Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers (pp. 318-331). (Communications in Computer and Information Science; Vol. 1532 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-99170-8_23

Calle, Juan ; Guzmán, Emilio ; Lima, Juan Fernando et al. / Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables. Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers. editor / Fabián R. Narváez ; Julio Proaño ; Paulina Morillo ; Diego Vallejo ; Daniel González Montoya ; Gloria M. Díaz. Springer Science and Business Media Deutschland GmbH, 2022. pp. 318-331 (Communications in Computer and Information Science).

@inproceedings{d329d2e391654caab4ff2db863030907,

title = "Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables",

abstract = "Exercising outdoors, in a polluted environment, can cause adverse health effects for people. Therefore, it is important to know the levels of pollutants in the environment in which the exercise is carried out. This article applies the Clustering technique to generate a recommendation system of hours of the day in which it is possible to perform physical activities, reducing the damage to health, considering the levels of pollutants present in the environment. A dataset provided by the Monitoring Network of the Public Mobility, Transit and Transport Company (EMOV EP) of Cuenca, Ecuador, was used. The results show that through an unsupervised learning data mining technique such as clustering, a recommendation system can be implemented. This system generates a range of time within physical activities are suggested to be performed, reducing the negative impact on people{\textquoteright}s health of high levels of pollutants and meteorological variables present in the environment.",

keywords = "Atmospheric pollutants, Clustering, Physical activities, Recommendation system",

author = "Juan Calle and Emilio Guzm{\'a}n and Lima, \{Juan Fernando\} and Andr{\'e}s Pati{\~n}o and Marcos Orellana and Priscila Cedillo",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021 ; Conference date: 01-12-2021 Through 03-12-2021",

year = "2022",

doi = "10.1007/978-3-030-99170-8\_23",

language = "Ingl{\'e}s",

isbn = "9783030991692",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "318--331",

editor = "Narv{\'a}ez, \{Fabi{\'a}n R.\} and Julio Proa{\~n}o and Paulina Morillo and Diego Vallejo and \{Gonz{\'a}lez Montoya\}, Daniel and D{\'i}az, \{Gloria M.\}",

booktitle = "Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers",

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Calle, J, Guzmán, E, Lima, JF, Patiño, A, Orellana, M & Cedillo, P 2022, Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables. En FR Narváez, J Proaño, P Morillo, D Vallejo, D González Montoya & GM Díaz (eds.), Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1532 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 318-331, 2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021, Quito, Ecuador, 1/12/21. https://doi.org/10.1007/978-3-030-99170-8_23

Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables. / Calle, Juan; Guzmán, Emilio; Lima, Juan Fernando et al.
Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers. ed. / Fabián R. Narváez; Julio Proaño; Paulina Morillo; Diego Vallejo; Daniel González Montoya; Gloria M. Díaz. Springer Science and Business Media Deutschland GmbH, 2022. p. 318-331 (Communications in Computer and Information Science; Vol. 1532 CCIS).

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

TY - GEN

T1 - Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables

AU - Calle, Juan

AU - Guzmán, Emilio

AU - Lima, Juan Fernando

AU - Patiño, Andrés

AU - Orellana, Marcos

AU - Cedillo, Priscila

PY - 2022

Y1 - 2022

N2 - Exercising outdoors, in a polluted environment, can cause adverse health effects for people. Therefore, it is important to know the levels of pollutants in the environment in which the exercise is carried out. This article applies the Clustering technique to generate a recommendation system of hours of the day in which it is possible to perform physical activities, reducing the damage to health, considering the levels of pollutants present in the environment. A dataset provided by the Monitoring Network of the Public Mobility, Transit and Transport Company (EMOV EP) of Cuenca, Ecuador, was used. The results show that through an unsupervised learning data mining technique such as clustering, a recommendation system can be implemented. This system generates a range of time within physical activities are suggested to be performed, reducing the negative impact on people’s health of high levels of pollutants and meteorological variables present in the environment.

AB - Exercising outdoors, in a polluted environment, can cause adverse health effects for people. Therefore, it is important to know the levels of pollutants in the environment in which the exercise is carried out. This article applies the Clustering technique to generate a recommendation system of hours of the day in which it is possible to perform physical activities, reducing the damage to health, considering the levels of pollutants present in the environment. A dataset provided by the Monitoring Network of the Public Mobility, Transit and Transport Company (EMOV EP) of Cuenca, Ecuador, was used. The results show that through an unsupervised learning data mining technique such as clustering, a recommendation system can be implemented. This system generates a range of time within physical activities are suggested to be performed, reducing the negative impact on people’s health of high levels of pollutants and meteorological variables present in the environment.

KW - Atmospheric pollutants

KW - Clustering

KW - Physical activities

KW - Recommendation system

UR - https://publicaciones.ucuenca.edu.ec/ojs/index.php/medicina/article/view/3109/2368

U2 - 10.1007/978-3-030-99170-8_23

DO - 10.1007/978-3-030-99170-8_23

M3 - Contribución a la conferencia

AN - SCOPUS:85128456863

SN - 9783030991692

T3 - Communications in Computer and Information Science

SP - 318

EP - 331

BT - Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers

A2 - Narváez, Fabián R.

A2 - Proaño, Julio

A2 - Morillo, Paulina

A2 - Vallejo, Diego

A2 - González Montoya, Daniel

A2 - Díaz, Gloria M.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021

Y2 - 1 December 2021 through 3 December 2021

ER -

Calle J, Guzmán E, Lima JF, Patiño A, Orellana M, Cedillo P. Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables. En Narváez FR, Proaño J, Morillo P, Vallejo D, González Montoya D, Díaz GM, editores, Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 318-331. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-99170-8_23

Towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables

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