Facial expression recognition on Android

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