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Paper Abstract and Keywords
Presentation 2019-12-13 09:30
Identification of a Learning State Using Face Information from Kinect
Takashi Ito (Aoyama Gakuin Univ.), Hikari Fukai, Kenichi Takahashi, Tomoko Kajiyama (Hiroshima City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In actual classes, it is very important for teachers to grasp learning states of students. However, it is difficult to memorize learning states constantly because teachers sometimes write on a blackboard while lecturing. Thus, to relieve a burden of teachers, we have studied a method for identification of a learning state of a student. In the previous study, we proposed the method using skeleton information from Kinect and information of hands for identification of a learning state. In this study, to improve identification accuracy, face information is combined to the method for identification of a learning state.
Keyword Learning Support, Kinect, Gesture Recognition, Face Tracking
Keyword (in Japanese) (See Japanese page) 
(in English) Learning Support / Kinect / Gesture Recognition / Face Tracking / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2019-12-11 - 2019-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima-ken Joho Plaza (Hiroshima) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) HCG Symposium 2019 
Paper Information
Registration To HCGSYMPO 
Conference Code 2019-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identification of a Learning State Using Face Information from Kinect 
Sub Title (in English)  
Keyword(1) Learning Support  
Keyword(2) Kinect  
Keyword(3) Gesture Recognition  
Keyword(4) Face Tracking  
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1st Author's Name Takashi Ito  
1st Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
2nd Author's Name Hikari Fukai  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Kenichi Takahashi  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Tomoko Kajiyama  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2019-12-13 09:30:00 
Presentation Time 15 minutes 
Registration for HCGSYMPO 
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