In the past decade, significant advances have been gained in e-learning systems; nonetheless, learning management systems are not free of difficulties. As the most important of these problems it can be pointed out that there is no guaranty whether the actual student is present in the virtual classroom or not and also there is no way to track the students' attendance continually during class time.
The main purpose of this paper is to present a new e-learning model based on web applications with attendance control ability. The presented multimodal biometric based model is used for identification, authentication and tracking the users. In this model two behavioral biometric characteristics (mouse movements and keystroke dynamics) and a physical one (face features) are used. A new algorithm is presented to demonstrate use of these three biometrics technologies. As the experiments' results show, in verification and attendance control processes the proposed solution needs a lower level of students' collaboration. After the implementation of this model it can be added to the existing LMS and become compatible with it. Therefore, this model can be used to track the continuous attendance of the users in sensitive stages of e-learning process.