TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE

Bilge Kobas; Sebastian Clark Koth; Thomas Auer

doi:10.35490/EC3.2022.201

TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE

Bilge Kobas, Sebastian Clark Koth, Thomas Auer

Chair of Building Technology and Climate Responsive Design

Technical University of Munich

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

2 Scopus citations

Abstract

At the moment, the most extensive database for thermal comfort studies is ASHRAE Global Thermal Comfort Database II. It is a valuable data compilation of data from past surveys that formed the current adaptive comfort model. However, comfort research discovered the importance of new indices since then; 1. The temporal component of thermal sensation, and 2. Biosignal data correlated to thermal physiology. There are already several studies focusing on one or both indices and in the near future, the data production will speed up incrementally. This paper investigates the current database and suggests a framework to update it to include new approaches.

Original language	English
Title of host publication	Proceedings of the 2022 European Conference on Computing in Construction
Editors	Lavinia Chiara Tagliabue, Daniel M. Hall, Ranjith Soman, Athanasios Chassiakos, Dragana Nikolic
Publisher	European Council on Computing in Construction (EC3)
Pages	332-340
Number of pages	9
ISBN (Print)	9788875902261
DOIs	https://doi.org/10.35490/EC3.2022.201
State	Published - 2022
Event	European Conference on Computing in Construction, EC3 2022 - Rhodes, Greece Duration: 24 Jul 2022 → 26 Jul 2022

Publication series

Name	Proceedings of the European Conference on Computing in Construction
ISSN (Electronic)	2684-1150

Conference

Conference	European Conference on Computing in Construction, EC3 2022
Country/Territory	Greece
City	Rhodes
Period	24/07/22 → 26/07/22

Access to Document

10.35490/EC3.2022.201

Cite this

Kobas, B., Koth, S. C., & Auer, T. (2022). TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE. In L. C. Tagliabue, D. M. Hall, R. Soman, A. Chassiakos, & D. Nikolic (Eds.), Proceedings of the 2022 European Conference on Computing in Construction (pp. 332-340). (Proceedings of the European Conference on Computing in Construction). European Council on Computing in Construction (EC3). https://doi.org/10.35490/EC3.2022.201

Kobas, Bilge ; Koth, Sebastian Clark ; Auer, Thomas. / TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE. Proceedings of the 2022 European Conference on Computing in Construction. editor / Lavinia Chiara Tagliabue ; Daniel M. Hall ; Ranjith Soman ; Athanasios Chassiakos ; Dragana Nikolic. European Council on Computing in Construction (EC3), 2022. pp. 332-340 (Proceedings of the European Conference on Computing in Construction).

@inproceedings{a9dda99ad23f4563a9adc8ec5601d48d,

title = "TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE",

abstract = "At the moment, the most extensive database for thermal comfort studies is ASHRAE Global Thermal Comfort Database II. It is a valuable data compilation of data from past surveys that formed the current adaptive comfort model. However, comfort research discovered the importance of new indices since then; 1. The temporal component of thermal sensation, and 2. Biosignal data correlated to thermal physiology. There are already several studies focusing on one or both indices and in the near future, the data production will speed up incrementally. This paper investigates the current database and suggests a framework to update it to include new approaches.",

author = "Bilge Kobas and Koth, {Sebastian Clark} and Thomas Auer",

note = "Publisher Copyright: {\textcopyright} European Council on Computing in Construction (EC3).; European Conference on Computing in Construction, EC3 2022 ; Conference date: 24-07-2022 Through 26-07-2022",

year = "2022",

doi = "10.35490/EC3.2022.201",

language = "English",

isbn = "9788875902261",

series = "Proceedings of the European Conference on Computing in Construction",

publisher = "European Council on Computing in Construction (EC3)",

pages = "332--340",

editor = "Tagliabue, {Lavinia Chiara} and Hall, {Daniel M.} and Ranjith Soman and Athanasios Chassiakos and Dragana Nikolic",

booktitle = "Proceedings of the 2022 European Conference on Computing in Construction",

}

Kobas, B, Koth, SC & Auer, T 2022, TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE. in LC Tagliabue, DM Hall, R Soman, A Chassiakos & D Nikolic (eds), Proceedings of the 2022 European Conference on Computing in Construction. Proceedings of the European Conference on Computing in Construction, European Council on Computing in Construction (EC3), pp. 332-340, European Conference on Computing in Construction, EC3 2022, Rhodes, Greece, 24/07/22. https://doi.org/10.35490/EC3.2022.201

TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE. / Kobas, Bilge; Koth, Sebastian Clark; Auer, Thomas.
Proceedings of the 2022 European Conference on Computing in Construction. ed. / Lavinia Chiara Tagliabue; Daniel M. Hall; Ranjith Soman; Athanasios Chassiakos; Dragana Nikolic. European Council on Computing in Construction (EC3), 2022. p. 332-340 (Proceedings of the European Conference on Computing in Construction).

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

TY - GEN

T1 - TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE

AU - Kobas, Bilge

AU - Koth, Sebastian Clark

AU - Auer, Thomas

N1 - Publisher Copyright: © European Council on Computing in Construction (EC3).

PY - 2022

Y1 - 2022

N2 - At the moment, the most extensive database for thermal comfort studies is ASHRAE Global Thermal Comfort Database II. It is a valuable data compilation of data from past surveys that formed the current adaptive comfort model. However, comfort research discovered the importance of new indices since then; 1. The temporal component of thermal sensation, and 2. Biosignal data correlated to thermal physiology. There are already several studies focusing on one or both indices and in the near future, the data production will speed up incrementally. This paper investigates the current database and suggests a framework to update it to include new approaches.

AB - At the moment, the most extensive database for thermal comfort studies is ASHRAE Global Thermal Comfort Database II. It is a valuable data compilation of data from past surveys that formed the current adaptive comfort model. However, comfort research discovered the importance of new indices since then; 1. The temporal component of thermal sensation, and 2. Biosignal data correlated to thermal physiology. There are already several studies focusing on one or both indices and in the near future, the data production will speed up incrementally. This paper investigates the current database and suggests a framework to update it to include new approaches.

UR - http://www.scopus.com/inward/record.url?scp=85172476396&partnerID=8YFLogxK

U2 - 10.35490/EC3.2022.201

DO - 10.35490/EC3.2022.201

M3 - Conference contribution

AN - SCOPUS:85172476396

SN - 9788875902261

T3 - Proceedings of the European Conference on Computing in Construction

SP - 332

EP - 340

BT - Proceedings of the 2022 European Conference on Computing in Construction

A2 - Tagliabue, Lavinia Chiara

A2 - Hall, Daniel M.

A2 - Soman, Ranjith

A2 - Chassiakos, Athanasios

A2 - Nikolic, Dragana

PB - European Council on Computing in Construction (EC3)

T2 - European Conference on Computing in Construction, EC3 2022

Y2 - 24 July 2022 through 26 July 2022

ER -

Kobas B, Koth SC, Auer T. TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE. In Tagliabue LC, Hall DM, Soman R, Chassiakos A, Nikolic D, editors, Proceedings of the 2022 European Conference on Computing in Construction. European Council on Computing in Construction (EC3). 2022. p. 332-340. (Proceedings of the European Conference on Computing in Construction). doi: 10.35490/EC3.2022.201

TOWARDS A MULTIVARIATE TIME-SERIES APPROACH WITH BIOSIGNAL DATASETS FOR THE GLOBAL THERMAL COMFORT DATABASE

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this