Paper Info
Title
Using Passive Bci To Online Control The Air Conditioner For Obtaining The Individual Specific Thermal Comfort
Abstract
Thermal comfort has an important impact on human health and work efficiency, which has attracted more attention in recent years. Although electroencephalogram (EEG) has been used to evaluate thermal comfort, it has not been reported to be used in controlling the air conditioner. This paper attempted to construct a passive EEG based brain-computer interface (BCI) system to regulate the room temperature. During the experiment, EEG signals in two conditions, thermal comfort and hot discomfort, were collected to build a discriminant model. And then, an online experiment was conducted to verify the thermal comfort effect of the BCI temperature control. Results showed that all the five subjects could obtain a better thermal sensation under the BCI control in an overheated environment. This study indicated the feasibility of indoor temperature control technology based on physiological signals. It can provide a new way to obtain personalized thermal comfort.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8856497
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
thermal comfort, individual EEG-based discriminant model, passive brain-computer interface (BCI), online temperature control
Thermal sensation,Air conditioning,Computer science,Simulation,Temperature control,Brain–computer interface,Electronic engineering,Thermal comfort,Human health
Conference
Volume
ISSN
Citations 
2019
1557-170X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Meng Wu100.68
Hongzhi Qi24920.61