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Paper Abstract and Keywords
Presentation 2019-08-29 15:50
A Proposal of Facial Expression Recognition Method from Video Using Enhanced ConvLSTM
Ryo Miyoshi (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) MVE2019-12
Abstract (in Japanese) (See Japanese page) 
(in English) We propose an enhanced convolutional long short-term memory (ConvLSTM) algorithm, i.e., Enhanced ConvLSTM, by adding skip connections in the spatiotemporal directions to conventional ConvLSTM to suppress gradient vanishing and use older information and We propose a method that uses this algorithm to automatically recognize facial expressions from videos. The proposed facial expression recognition method consists of two Enhanced ConvLSTM streams and two ResNet streams. The Enhanced ConvLSTM streams extract features for fine movements, and the ResNet streams extract features for rough movements. We conducted experiments to compare a method using ConvLSTM with skip connections and a method without them. A method using Enhanced CovnLSTM had a 4.44% higher accuracy than the a method using conventional ConvLSTM. Also the proposed facial expression recognition method achieved 45.29% accuracy, which is 2.31% higher than that of the conventional facial expression recognition method.
Keyword (in Japanese) (See Japanese page) 
(in English) facial expression recognition / convolutional LSTM / skip connection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 190, MVE2019-12, pp. 37-42, Aug. 2019.
Paper # MVE2019-12 
Date of Issue 2019-08-22 (MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF MVE2019-12

Conference Information
Committee MVE  
Conference Date 2019-08-29 - 2019-08-30 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To MVE 
Conference Code 2019-08-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Facial Expression Recognition Method from Video Using Enhanced ConvLSTM 
Sub Title (in English)  
Keyword(1) facial expression recognition  
Keyword(2) convolutional LSTM  
Keyword(3) skip connection  
1st Author's Name Ryo Miyoshi  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Noriko Nagata  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
3rd Author's Name Manabu Hashimoto  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
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Date Time 2019-08-29 15:50:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-MVE2019-12 
Volume (vol) IEICE-119 
Number (no) no.190 
Page pp.37-42 
#Pages IEICE-6 
Date of Issue IEICE-MVE-2019-08-22 

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