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Real-time regulation of room temperature based on individual thermal sensation using an online brain–computer interface
Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China; Tianjin Guokeyigong Science & Technology Development Co., Ltd., Tianjin, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, Tianjin, China.
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2022 (English)In: Indoor Air, ISSN 0905-6947, E-ISSN 1600-0668, Vol. 32, no e13106, article id e13106Article in journal (Refereed) Published
Abstract [en]

Regulation of indoor temperature based on neurophysiological and psychological signals is one of the most promising technologies for intelligent buildings. In this study, we developed a system for closed-loop control of indoor temperature based on brain-computer interface (BCI) technology for the first time. Electroencephalogram (EEG) signals were collected from subjects for two room temperature categories (cool comfortable and hot uncomfortable) and used to build a thermal-sensation discrimination model (TSDM) with an ensemble learning method. Then, an online BCI system was developed based on the TSDM. In the online room temperature control experiment, when the TSDM detected that the subjects felt hot and uncomfortable, BCI would automatically turn on the air conditioner, and when the TSDM detected that the subjects felt cool and comfortable, BCI would automatically turn off the air conditioner. The results of online experiments in a hot environment showed that a BCI could significantly improve the thermal comfort of subjects (the subjective thermal comfort score decreased from 2.45 (hot uncomfortable) to 0.55 (cool comfortable), p < 0.001). A parallel experiment further showed that if the subjects wore thicker clothes during the experiment, the BCI would turn on the air conditioner for a longer time to ensure the thermal comfort of the subjects. This has further confirmed the effectiveness of TSDM model in evaluating thermal sensation under the dynamic change of room temperature and showed the model's good robustness. This study proposed a new paradigm of human-building interaction, which is expected to play a promising role in the development of human-centered intelligent buildings.

Place, publisher, year, edition, pages
NLM (Medline) , 2022. Vol. 32, no e13106, article id e13106
Keywords [en]
air conditioner, brain-computer interface, closed-loop, thermal sensation
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-60203DOI: 10.1111/ina.13106ISI: 000854967800001PubMedID: 36168224Scopus ID: 2-s2.0-85138964187OAI: oai:DiVA.org:mdh-60203DiVA, id: diva2:1702994
Available from: 2022-10-12 Created: 2022-10-12 Last updated: 2022-11-17Bibliographically approved

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