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Paper Abstract and Keywords
Presentation 2013-12-19 14:10
Prediction of Individual Comfort Using Vital Data for Air Conditioning Control
Eisaku Ko, Chika Sugimoto, Ryuji Kohno (Yokohama Natuonal Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper shows the prediction of individual comfort based vital data for air-conditioning control. The thermal comfortable feeling is different with each person because that feeling depends on environmental and individual elements. We propose the prediction with individual skin temperature which responds to thermal comfort. For prediction, we apply HMM(Hidden Markov Model) as the relationship between skin temperature and individual comfort uses probability and making HMM hierarchical for considering the comfort to room temperature and humidity. And considering factor of time variation for hierarchical HMM, it makes hihger accuracy of prediction.
Keyword (in Japanese) (See Japanese page) 
(in English) thermal comfort / HMM / / / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2013-12-18 - 2013-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Matsuyama Multi-Purpose Community Cente 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human communication, etc. 
Paper Information
Registration To HCGSYMPO 
Conference Code 2013-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction of Individual Comfort Using Vital Data for Air Conditioning Control 
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Keyword(1) thermal comfort  
Keyword(2) HMM  
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1st Author's Name Eisaku Ko  
1st Author's Affiliation Yokohama National University (Yokohama Natuonal Univ)
2nd Author's Name Chika Sugimoto  
2nd Author's Affiliation Yokohama National University (Yokohama Natuonal Univ)
3rd Author's Name Ryuji Kohno  
3rd Author's Affiliation Yokohama National University (Yokohama Natuonal Univ)
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Speaker Author-1 
Date Time 2013-12-19 14:10:00 
Presentation Time 20 minutes 
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