caa a22 4500 60544708X CHVBK 20210128100130.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2082-3 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2082-3 Feast: face and emotion analysis system for smart tablets [Elektronische Daten] [Abderrahim Benmohamed, Mohamed Neji, Messaoud Ramdani, Ali Wali, Adel Alimi] Face and emotion recognition is still an open and very challenging problem. This paper presents a system FEAST which is an intelligent control system of Smart Tablets. It involves manipulating user sessions to adapt the working environment to his emotional state. First, a face detection followed by face and emotion recognition is performed, then a profile change is made basing on the obtained results. The face detection is based on skin color and geometric moments and face recognition is done by merging two features spaces, namely, Zernike moments and EAR-LBP. A feature selection technique reducing the parameter space size is applied. The same parameters are used for the emotion recognition. Springer Science+Business Media New York, 2014 Feature selection nationallicence Smart tablet nationallicence Face detection nationallicence Emotion recognition nationallicence Benmohamed Abderrahim Faculty of Science and Technique, Department of Informatique, Mohamed Cherif Messaadia University of Souk Ahras, 41000, Souk Ahras, Algeria aut Neji Mohamed REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut Ramdani Messaoud Department of Electronics, Faculty of Engineering, Badji-Mokhtar Annaba University, P.O. Box 12, 23000, Annaba, Algeria aut Wali Ali REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut Alimi Adel REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9297-9322 1380-7501 74:21<9297 2015 74 11042 https://doi.org/10.1007/s11042-014-2082-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2082-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Benmohamed Abderrahim Faculty of Science and Technique, Department of Informatique, Mohamed Cherif Messaadia University of Souk Ahras, 41000, Souk Ahras, Algeria aut NATIONALLICENCE 700 1- Neji Mohamed REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut NATIONALLICENCE 700 1- Ramdani Messaoud Department of Electronics, Faculty of Engineering, Badji-Mokhtar Annaba University, P.O. Box 12, 23000, Annaba, Algeria aut NATIONALLICENCE 700 1- Wali Ali REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut NATIONALLICENCE 700 1- Alimi Adel REGIM: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Sfax, Tunisia aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9297-9322 1380-7501 74:21<9297 2015 74 11042