Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Abstract

Identity veri cation and proctoring of online students are one of the key challenges to online learning today. Especially for online certi cation and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credits are those who registered for the courses. Furthermore, they need to ensure that these students complete all the activities of online training without cheating or inappropriate behaviours. The COVID-19 pandemic has accelerated (abruptly in certain cases) the migration and implementation of online education strategies and consequently the need for safe mechanisms to authenticate and proctor online students. Nowadays, there are several technologies with different grades of automation. In this paper, we deeply describe a speci c solution based on the authentication of different biometric technologies and an automatic proctoring system (system work ow as well as AI algorithms), which incorporates features to solve the main concerns in the market: highly scalable, automatic, affordable, with fewhardware and software requirements for the user, reliable and passive for the student. Finally, the technological performance test of the large scale system, the usability privacy perception survey of the user and their results are discussed in this work.