Author/Authors :
Greche, Latifa University Sidi Mohamed Ben Abdellah - School of Sciences and Technology - Laboratory of Renewable Energies and Intelligent Systems, Morocco , Hamaoui, Nabil Company HOPE3K services, Morocco , ES-Sbai, Najia University Sidi Mohamed Ben Abdellah - School of Sciences and Technology - Laboratory of Renewable Energies and Intelligent Systems, Morocco
Title Of Article :
Facial expression recognition on Android
Abstract :
In this paper we implemented an algorithm to detect facial expression in images provided by the camera in real time. The system is built on tree interesting stages: 1-Face detection using boosted cascade classifier based on haar-like features, to train the cascade a MIT-CBCL face database has been used ; 2-Tracking features points in the face; 3-Facial expression identification using facial Actions Units (AU) defined by P.Viola et al. in their Facial Action Coding System (FACS) [1]. The application can detect four facial expressions: joy, fear, sadness and anger.
NaturalLanguageKeyword :
facial expression , face detection , features points , real time
JournalTitle :
Mediterranean Telecommunications Journal
