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Paper Abstract and Keywords
Presentation 2020-02-27 15:10
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the proposed method, in order to realize the estimation of emotions that human might recall for unviewed images which the target human does not gaze at, gaze features are estimated for the unviewed images. Concretely, by estimating gaze features calculated from both images and gaze data, the proposed method enables calculating gaze features for the unviewed images. Especially, as an initial study, some regression methodologies are applied in this paper. Finally, human emotion can be estimated by using the estimated gaze features. Experiments of this paper show the use of the estimated gaze features is effective for human emotion estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) gaze / tensor analysis / human emotion estimation / sparse bayesian learning / / / /  
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Conference Information
Committee ITE-HI IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2020-02-27 - 2020-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2020-02-HI-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on estimation of gaze features for human emotion estimation while viewing images 
Sub Title (in English)  
Keyword(1) gaze  
Keyword(2) tensor analysis  
Keyword(3) human emotion estimation  
Keyword(4) sparse bayesian learning  
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1st Author's Name Yuya Moroto  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Keisuke Maeda  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2020-02-27 15:10:00 
Presentation Time 15 minutes 
Registration for ITE-ME 
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Volume (vol) vol.119 
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