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Paper Abstract and Keywords
Presentation 2022-12-14 23:25
Analyzing and Recognizing Synergetic Functions between Head Movements and Facial Expressions in Conversations
Mai Imamura, Kazuki Takeda (YNU), Shiro Kumano (NTT), Kazuhiro Otsuka (YNU)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose machine-learning models for recognizing the synergetic functions between facial expressions and head movements in conversations. To define such synergetic functions, a functional facial-expression corpus including various facial functions beyond the affect display was constructed and analyzed with the functional head-movement corpus. The analysis discovered several types of synergetic relationships between facial expressions and head movements, including reinforcement, multiplexing, and complement. To recognize such synergetic functions automatically, we constructed several models using convolutional neural networks (CNNs), which input facial action-units and head-pose sequences. Finally, the experiment results verified the potential of the proposed models.
Keyword (in Japanese) (See Japanese page) 
(in English) nonverbal communication / head movement / facial expression / convolutional neural network / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2022-12-14 - 2022-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Onsite (Sunport Takamatsu) and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCGSYMPO 
Conference Code 2022-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analyzing and Recognizing Synergetic Functions between Head Movements and Facial Expressions in Conversations 
Sub Title (in English)  
Keyword(1) nonverbal communication  
Keyword(2) head movement  
Keyword(3) facial expression  
Keyword(4) convolutional neural network  
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1st Author's Name Mai Imamura  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Kazuki Takeda  
2nd Author's Affiliation Yokohama National University (YNU)
3rd Author's Name Shiro Kumano  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Kazuhiro Otsuka  
4th Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2022-12-14 23:25:00 
Presentation Time 25 minutes 
Registration for HCGSYMPO 
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