Presenting a multimodal biometric model for tracking the students in virtual classes
Mohsen Khademi Dehnavi, Neda Peykanpour Fard · Procedia - Social and Behavioral Sciences · 2011
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 to 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.