TY  - GEN 
AU  - Yamaguchi, Naoya
AU  - Navarro Cáceres, María
AU  - Prieta Pintado, Fernando de la
AU  - Matsui, Kenji
PY  - 2016
SN  - 978-3-319-40161-4; 978-3-319-40162-1 (electronic)
SN  - 2194-5357
UR  - http://hdl.handle.net/10366/135102
AB  - This paper describes our preliminary study of facial expression recognition in order to extract user response information. We used Kinect to get real time facial expressions of the user to extract 6 facial expression categories (neutral, happiness,...
LA  - en
PB  - Springer International Publishing
KW  - Computer Science
TI  - Facial Expression Recognition System for User Preference Extraction
ER  -