ABSTRACT
The aim of this study was to produce the prototype of face-expression detection which was implemented in e-learning, to enable e-learning to recognize students’ response and reaction toward the content and thus allowing it to provide proper feedback and stimulus for the students in e-learning. This is an effort to incorporate the active role of the teachers in the traditional learning, which is deemed crucial to be maintained in the learning process. The present study used prototyping methodology in which a prototype of facial detection system was developed and integrated to the existing e-learning systems. By applying Facial Action Coding System and Support Vector Machine (FACS & SVM) method to detect the facial expression, the prototype developed in this study showed an ability to detect the student’s facial expression and then to give an automatic respond that suited the students’ emotions and response as reflected through their facial expression. However, the present study has not evaluated the effectiveness of e-learning with the facial expression detection as compared to e-learning as content management system only, thus future research on such evaluation is still needed.
