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Paper Abstract and Keywords
Presentation 2021-12-17 11:40
Construction of a facial expression database of Japanese elderly people and Benchmarking by facial expression analysis system
Hiroto Murakami, Naoto Yoshida (Nagoya Univ.), Tomoko Yonezawa (Kansai Univ.), Yu Enokibori, Kenji Mase (Nagoya Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we constructed a database of facial expressions of Japanese elderly people and analyzed their features using a facial expression analysis system. There have been many studies focusing on the relation between facial expressions and emotions with younger Japanese, or caucasian in wider range age presented in those studies . However, there is a possibility that Japanese elderly people show different facial expression features due to wrinkles and deterioration of facial muscles.
Therefore, we have captured facial expression videos database over 111 elderly Japanese people with eight emotions (happy, sad, fear, surprise, anger, disgust, excitement, and relax) and neutral. As a result of comparing against those of younger Japanese, there were different features due to the influence of wrinkles.
Keyword (in Japanese) (See Japanese page) 
(in English) Facial expression database / Japanese elderly people / Facial recognition / OpenFace / AU analysis / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2021-12-15 - 2021-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
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Paper Information
Registration To HCGSYMPO 
Conference Code 2021-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of a facial expression database of Japanese elderly people and Benchmarking by facial expression analysis system 
Sub Title (in English)  
Keyword(1) Facial expression database  
Keyword(2) Japanese elderly people  
Keyword(3) Facial recognition  
Keyword(4) OpenFace  
Keyword(5) AU analysis  
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1st Author's Name Hiroto Murakami  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Naoto Yoshida  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Tomoko Yonezawa  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Yu Enokibori  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kenji Mase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2021-12-17 11:40:00 
Presentation Time 15 minutes 
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