Develop a Monitoring Tool and Extract Facial Expression towards the Analyzing Student Behavior in Three Dimensional Virtual Environment

With the growing interest of global perspective, E-learning becomes an invaluable resource to share the knowledge. The effectiveness of E-learning can be enhanced with the integration of virtual world. Currently most of universities utilize it to conduct several courses, project and assignments etc. Although student activities analyze is important and valuable aspect, behavior analysis is difficult and very rare. In this research, student movement, communication and facial expression analysis system is developed to analyze the student behavior in virtual environment. Student activities were collected and recorded in database. Then develop a tool using those data to analyze the physical movement and communication behavior. Real user face image was extracted and identifies the facial expression by using a web cam. 2D appearance-based local approach is used for the extraction of intransient facial features and recognition of four facial expressions. The user defined avatar face which is in virtual environment is changed according to the real user expression.