Diagnosing learning difficulty with facial expression recognition

[[abstract]]Facial detection and recognition have been utilized in areas such as surveillance system ,human controller interface(HCI), biometric identity authentification(BIA) and Security Information Access(SIA). However, Facial detection is an important preprocessing before facial expression recognition and facial tracing , Therefore ,it is an interesting research to design diagnosing the learning difficulty with facial expression recognition. In this study, we combined the image processing technical ,included image preprocessing ,Facial detection and facial expression recognition. This paper discusses three phase .In the first phase ,It captured the facial picture from a WebCam , Removing noise from the facial picture through an integrated filter while preserving and enhancing edges is one of the most fundamental operations of image processing. Then, the second phase used the color of skin method to extract the eyes and mouth characteristic, Finally, based on the facial emotion vector theories (withdrawal,careness,happiness) , we used it to diagnose the learning difficulty with facial expression recognition.In our experiment , we captured 2040 piece of facial images by 40 students utilizing WebCam for facial recognition database.The experiment result showed an correctness rate of 92 percent . The experiment proved that we can utilizing the proposed method for E-learning system in the further .