Fuzzy Control of Temperature on SACI Based on the Emotion Recognition

Maria Sol Soria; Violeta Maldonado; Danilo Chavez; Kleber Patiño; Oscar Camacho

doi:10.1007/978-3-030-59194-6_9

Fuzzy Control of Temperature on SACI Based on the Emotion Recognition

Maria Sol Soria
, Violeta Maldonado
, Danilo Chavez^*
, Kleber Patiño
, Oscar Camacho

^*Corresponding author for this work

Escuela Politecnica Nacional

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

1 Scopus citations

Abstract

This article presents a new alternative for the design of the thermal comfort system for a classroom, based on an experimental and empirical fuzzy model, since it is currently important to provide solutions on topics such as health, well-being and learning performance in students within an academic institution, and because in the scientific literature there are no mathematical models of human behavior that help to design a control algorithm for the management of comfort applications, the present work proposes an alternative of modeling and control algorithms focused on studies that establish the relationship between emotions, temperature and academic performance of students, this being essential in the technological, educational and psychological fields, in such a way that simulations of the proposal were carried out using Matlab, which allowed determining relationships between the student’s emotion and the environmental factors, in addition to showing that a temperature control can influence the emotions of a group of students.

Original language	English
Title of host publication	Systems and Information Sciences - Proceedings of ICCIS 2020
Editors	Miguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	94-106
Number of pages	13
ISBN (Print)	9783030591939
DOIs	https://doi.org/10.1007/978-3-030-59194-6_9
State	Published - 2021
Externally published	Yes
Event	1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador Duration: 27 Jul 2020 → 29 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1273 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Systems and Information Sciences, ICCIS 2020
Country/Territory	Ecuador
City	Manta
Period	27/07/20 → 29/07/20

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Emotions
Fuzzy control
Temperature
Thermal comfort

Access to Document

10.1007/978-3-030-59194-6_9

Cite this

Soria, M. S., Maldonado, V., Chavez, D., Patiño, K., & Camacho, O. (2021). Fuzzy Control of Temperature on SACI Based on the Emotion Recognition. In M. Botto-Tobar, W. Zamora, J. Larrea Plúa, J. Bazurto Roldan, & A. Santamaría Philco (Eds.), Systems and Information Sciences - Proceedings of ICCIS 2020 (pp. 94-106). (Advances in Intelligent Systems and Computing; Vol. 1273 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59194-6_9

Soria, Maria Sol ; Maldonado, Violeta ; Chavez, Danilo et al. / Fuzzy Control of Temperature on SACI Based on the Emotion Recognition. Systems and Information Sciences - Proceedings of ICCIS 2020. editor / Miguel Botto-Tobar ; Willian Zamora ; Johnny Larrea Plúa ; José Bazurto Roldan ; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. pp. 94-106 (Advances in Intelligent Systems and Computing).

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title = "Fuzzy Control of Temperature on SACI Based on the Emotion Recognition",

abstract = "This article presents a new alternative for the design of the thermal comfort system for a classroom, based on an experimental and empirical fuzzy model, since it is currently important to provide solutions on topics such as health, well-being and learning performance in students within an academic institution, and because in the scientific literature there are no mathematical models of human behavior that help to design a control algorithm for the management of comfort applications, the present work proposes an alternative of modeling and control algorithms focused on studies that establish the relationship between emotions, temperature and academic performance of students, this being essential in the technological, educational and psychological fields, in such a way that simulations of the proposal were carried out using Matlab, which allowed determining relationships between the student{\textquoteright}s emotion and the environmental factors, in addition to showing that a temperature control can influence the emotions of a group of students.",

keywords = "Emotions, Fuzzy control, Temperature, Thermal comfort",

author = "Soria, \{Maria Sol\} and Violeta Maldonado and Danilo Chavez and Kleber Pati{\~n}o and Oscar Camacho",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Systems and Information Sciences, ICCIS 2020 ; Conference date: 27-07-2020 Through 29-07-2020",

year = "2021",

doi = "10.1007/978-3-030-59194-6\_9",

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

isbn = "9783030591939",

series = "Advances in Intelligent Systems and Computing",

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

pages = "94--106",

editor = "Miguel Botto-Tobar and Willian Zamora and \{Larrea Pl{\'u}a\}, Johnny and \{Bazurto Roldan\}, Jos{\'e} and \{Santamar{\'i}a Philco\}, Alex",

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Soria, MS, Maldonado, V, Chavez, D, Patiño, K & Camacho, O 2021, Fuzzy Control of Temperature on SACI Based on the Emotion Recognition. in M Botto-Tobar, W Zamora, J Larrea Plúa, J Bazurto Roldan & A Santamaría Philco (eds), Systems and Information Sciences - Proceedings of ICCIS 2020. Advances in Intelligent Systems and Computing, vol. 1273 AISC, Springer Science and Business Media Deutschland GmbH, pp. 94-106, 1st International Conference on Systems and Information Sciences, ICCIS 2020, Manta, Ecuador, 27/07/20. https://doi.org/10.1007/978-3-030-59194-6_9

Fuzzy Control of Temperature on SACI Based on the Emotion Recognition. / Soria, Maria Sol; Maldonado, Violeta; Chavez, Danilo et al.
Systems and Information Sciences - Proceedings of ICCIS 2020. ed. / Miguel Botto-Tobar; Willian Zamora; Johnny Larrea Plúa; José Bazurto Roldan; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. p. 94-106 (Advances in Intelligent Systems and Computing; Vol. 1273 AISC).

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

TY - GEN

T1 - Fuzzy Control of Temperature on SACI Based on the Emotion Recognition

AU - Soria, Maria Sol

AU - Maldonado, Violeta

AU - Chavez, Danilo

AU - Patiño, Kleber

AU - Camacho, Oscar

PY - 2021

Y1 - 2021

N2 - This article presents a new alternative for the design of the thermal comfort system for a classroom, based on an experimental and empirical fuzzy model, since it is currently important to provide solutions on topics such as health, well-being and learning performance in students within an academic institution, and because in the scientific literature there are no mathematical models of human behavior that help to design a control algorithm for the management of comfort applications, the present work proposes an alternative of modeling and control algorithms focused on studies that establish the relationship between emotions, temperature and academic performance of students, this being essential in the technological, educational and psychological fields, in such a way that simulations of the proposal were carried out using Matlab, which allowed determining relationships between the student’s emotion and the environmental factors, in addition to showing that a temperature control can influence the emotions of a group of students.

AB - This article presents a new alternative for the design of the thermal comfort system for a classroom, based on an experimental and empirical fuzzy model, since it is currently important to provide solutions on topics such as health, well-being and learning performance in students within an academic institution, and because in the scientific literature there are no mathematical models of human behavior that help to design a control algorithm for the management of comfort applications, the present work proposes an alternative of modeling and control algorithms focused on studies that establish the relationship between emotions, temperature and academic performance of students, this being essential in the technological, educational and psychological fields, in such a way that simulations of the proposal were carried out using Matlab, which allowed determining relationships between the student’s emotion and the environmental factors, in addition to showing that a temperature control can influence the emotions of a group of students.

KW - Emotions

KW - Fuzzy control

KW - Temperature

KW - Thermal comfort

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U2 - 10.1007/978-3-030-59194-6_9

DO - 10.1007/978-3-030-59194-6_9

M3 - Contribución a la conferencia

AN - SCOPUS:85094102540

SN - 9783030591939

T3 - Advances in Intelligent Systems and Computing

SP - 94

EP - 106

BT - Systems and Information Sciences - Proceedings of ICCIS 2020

A2 - Botto-Tobar, Miguel

A2 - Zamora, Willian

A2 - Larrea Plúa, Johnny

A2 - Bazurto Roldan, José

A2 - Santamaría Philco, Alex

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Systems and Information Sciences, ICCIS 2020

Y2 - 27 July 2020 through 29 July 2020

ER -

Soria MS, Maldonado V, Chavez D, Patiño K, Camacho O. Fuzzy Control of Temperature on SACI Based on the Emotion Recognition. In Botto-Tobar M, Zamora W, Larrea Plúa J, Bazurto Roldan J, Santamaría Philco A, editors, Systems and Information Sciences - Proceedings of ICCIS 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 94-106. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-59194-6_9

Fuzzy Control of Temperature on SACI Based on the Emotion Recognition

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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