文章基本信息

标题：Presenting a multimodal biometric model for tracking the students in virtual classes
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作者：Mohsen Khademi Dehnavi ; Mohsen Khademi Dehnavi ; Neda Peykanpour Fard 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2011
卷号：15
页码：3456-3462
DOI：10.1016/j.sbspro.2011.04.318
语种：English
出版社：Elsevier
摘要：AbstractThe 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.
关键词：E-learning;multimodal biometric;authentication;attendance;detection ;