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
شماره ركورد
15242
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.
From Page
87
NaturalLanguageKeyword
facial expression , face detection , features points , real time
JournalTitle
Mediterranean Telecommunications Journal
To Page
92
JournalTitle
Mediterranean Telecommunications Journal
Link To Document