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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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’s health of high levels of pollutants and meteorological variables present in the environment.

Original language	English
Title of host publication	Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers
Editors	Fabián R. Narváez, Julio Proaño, Paulina Morillo, Diego Vallejo, Daniel González Montoya, Gloria M. Díaz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	318-331
Number of pages	14
ISBN (Print)	9783030991692
DOIs	https://doi.org/10.1007/978-3-030-99170-8_23
State	Published - 2022
Externally published	Yes
Event	2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021 - Quito, Ecuador Duration: 1 Dec 2021 → 3 Dec 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1532 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021
Country/Territory	Ecuador
City	Quito
Period	1/12/21 → 3/12/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

Atmospheric pollutants
Clustering
Physical activities
Recommendation system

Access to Document

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

Cite this

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. In 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",

}

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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Narváez FR, Proaño J, Morillo P, Vallejo D, González Montoya D, Díaz GM, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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