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
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
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
UR - http://www.scopus.com/inward/record.url?scp=85094102540&partnerID=8YFLogxK
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 -
